import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sktime.datasets import load_gunpoint

from sktime.classification.distance_based import KNeighborsTimeSeriesClassifier

X_train, y_train = load_gunpoint(split="TRAIN", return_X_y=True, return_type="numpy3D")
X_test, y_test = load_gunpoint(split="TEST", return_X_y=True, return_type="numpy3D")
X_train.shape, y_train.shape, X_test.shape, y_test.shape

((50, 1, 150), (50,), (150, 1, 150), (150,))

classifier = KNeighborsTimeSeriesClassifier(n_neighbors=1, distance="euclidean")

classifier.fit(X_train, y_train)

/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/gluonts/json.py:102: UserWarning: Using `json`-module for json-handling. Consider installing one of `orjson`, `ujson` to speed up serialization and deserialization.
  warnings.warn(

KNeighborsTimeSeriesClassifier(distance='euclidean')

KNeighborsTimeSeriesClassifier(distance='euclidean')

# accuracy
classifier.score(X_test, y_test)

0.9133333333333333

X, classes = load_gunpoint(return_type="numpy3D")
X.shape

(200, 1, 150)

ts1 = X[0, 0, :]
ts2 = X[10, 0, :]
ts1.shape, ts2.shape

((150,), (150,))

plt.plot(ts1)
plt.plot(ts2)
plt.show()

from sktime.distances import distance

distance(ts1, ts2, metric="euclidean")

9.448621148484971

distance(ts1, ts2, metric="dtw")

8.899233341263871

distance(ts1, ts2, metric="dtw", window=0.1)

14.451891982183026

distance(ts1, ts2, metric="dtw", itakura_max_slope=0.2)

8.899233341263871

from sktime.alignment.dtw_numba import AlignerDtwNumba
from sktime.alignment.naive import AlignerNaive

aligner = AlignerNaive()
aligner.fit([pd.DataFrame(ts1), pd.DataFrame(ts2)])
alignments = aligner.get_alignment()
aligned_1, aligned_2 = aligner.get_aligned()

plt.plot(ts1, c="C0", label="ts1")
plt.plot(ts2, c="C1", label="ts2")
for index, row in alignments.iterrows():
    ind0 = row['ind0']
    ind1 = row['ind1']
    plt.plot([ind0, ind1], [ts1[ind0], ts2[ind1]], color='gray', linestyle='--', linewidth=0.5)
plt.legend()
plt.show()

aligner = AlignerDtwNumba()
aligner.fit([pd.DataFrame(ts1), pd.DataFrame(ts2)])
alignments = aligner.get_alignment()
aligned_1, aligned_2 = aligner.get_aligned()

plt.plot(ts1, c="C0", label="ts1")
plt.plot(ts2, c="C1", label="ts2")
for index, row in alignments.iterrows():
    ind0 = row['ind0']
    ind1 = row['ind1']
    plt.plot([ind0, ind1], [ts1[ind0], ts2[ind1]], color='gray', linestyle='--', linewidth=0.5)
plt.legend()
plt.show()

# warping ts1 to "fit" ts2
plt.plot(alignments["ind1"], aligned_1, label="warped ts1")
plt.plot(alignments["ind1"], aligned_2, label="ts2")
plt.legend()
plt.show()

# warping ts2 to "fit" ts1
plt.plot(alignments["ind0"], aligned_1, label="ts1")
plt.plot(alignments["ind0"], aligned_2, label="warped ts2")
plt.legend()
plt.show()

aligner = AlignerDtwNumba(window=0.1)
aligner.fit([pd.DataFrame(ts1), pd.DataFrame(ts2)])
alignments = aligner.get_alignment()
aligned_1, aligned_2 = aligner.get_aligned()

plt.plot(ts1, c="C0", label="ts1")
plt.plot(ts2, c="C1", label="ts2")
for index, row in alignments.iterrows():
    ind0 = row['ind0']
    ind1 = row['ind1']
    plt.plot([ind0, ind1], [ts1[ind0], ts2[ind1]], color='gray', linestyle='--', linewidth=0.5)

aligner = AlignerDtwNumba(itakura_max_slope=0.1)
aligner.fit([pd.DataFrame(ts1), pd.DataFrame(ts2)])
alignments = aligner.get_alignment()
aligned_1, aligned_2 = aligner.get_aligned()

plt.plot(ts1, c="C0", label="ts1")
plt.plot(ts2, c="C1", label="ts2")
for index, row in alignments.iterrows():
    ind0 = row['ind0']
    ind1 = row['ind1']
    plt.plot([ind0, ind1], [ts1[ind0], ts2[ind1]], color='gray', linestyle='--', linewidth=0.5)
plt.legend()
plt.show()

from sktime.clustering.k_means import TimeSeriesKMeans

X, y = load_gunpoint(split="TRAIN", return_X_y=True, return_type="numpy3D")

%%time
kmeans = TimeSeriesKMeans(n_clusters=2, metric="dtw", random_state=0)
kmeans.fit(X)
labels = kmeans.labels_
labels

CPU times: user 591 ms, sys: 18.5 ms, total: 610 ms
Wall time: 612 ms

array([0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1,
       1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1,
       1, 0, 0, 0, 0, 1])

kmeans.inertia_

134.87930659800028

%%time
# compute inertia varying the number of clusters
inertia = []
for k in range(2, 10):
    kmeans = TimeSeriesKMeans(n_clusters=k, metric="dtw", random_state=0)
    kmeans.fit(X)
    inertia.append(kmeans.inertia_)
    print(f"Computed inertia for k={k}")

Computed inertia for k=2
Computed inertia for k=3
Computed inertia for k=4
Computed inertia for k=5
Computed inertia for k=6
Computed inertia for k=7
Computed inertia for k=8
Computed inertia for k=9
Computed inertia for k=10
Computed inertia for k=11
Computed inertia for k=12
Computed inertia for k=13
Computed inertia for k=14
CPU times: user 48.9 s, sys: 747 ms, total: 49.7 s
Wall time: 50.7 s

plt.plot(range(2, len(inertia)+2), inertia, marker="o")
plt.xlabel("Number of clusters")
plt.ylabel("Inertia")
plt.title("Elbow method for determining the optimal number of clusters")
plt.show()

%%time
kmeans = TimeSeriesKMeans(n_clusters=3, metric="dtw", random_state=0)
kmeans.fit(X)
labels = kmeans.labels_
labels

CPU times: user 1.77 s, sys: 41.3 ms, total: 1.81 s
Wall time: 1.82 s

array([1, 1, 1, 1, 1, 1, 0, 0, 2, 2, 2, 2, 2, 2, 1, 2, 1, 1, 2, 2, 1, 2,
       2, 0, 1, 2, 2, 2, 2, 0, 2, 0, 2, 1, 1, 1, 2, 1, 0, 2, 1, 2, 2, 2,
       2, 1, 1, 1, 1, 0])

# plot time series colored by cluster in different subplots
plt.figure(figsize=(15, 4))
for cluster in np.unique(labels):
    plt.subplot(1, len(np.unique(labels)), cluster+1)
    for i in range(X.shape[0]):
        if labels[i] == cluster:
            plt.plot(X[i, 0, :], alpha=0.5, color=f"C{cluster}")
    plt.title(f"Cluster {cluster}")
plt.tight_layout()
plt.show()

from sktime.clustering.dbscan import TimeSeriesDBSCAN

def dtw_pairwise(X):
    return pairwise_distance(X, metric="dtw")

import numpy as np
import matplotlib.pyplot as plt

from sktime.distances import pairwise_distance
from sktime.clustering.dbscan import TimeSeriesDBSCAN

min_samples = 5

# 1. Compute the pairwise DTW distance matrix
D = pairwise_distance(X, metric="dtw")

# 2. For each series, sort distances to all other series
# The first distance is usually 0, the distance from a series to itself.
D_sorted = np.sort(D, axis=1)

# 3. Get distance to the k-th nearest neighbor.
# Since self-distance is included at index 0, use min_samples, not min_samples - 1.
k_distances = D_sorted[:, min_samples]

# 4. Sort the k-distances for the knee plot
k_distances_sorted = np.sort(k_distances)

plt.figure(figsize=(8, 5))
plt.plot(k_distances_sorted)
plt.xlabel("Time series sorted by k-distance")
plt.ylabel(f"DTW distance to {min_samples}-th nearest neighbor")
plt.title("K-distance plot for DBSCAN with DTW")
plt.grid(True)
plt.show()

dbscan = TimeSeriesDBSCAN(distance=dtw_pairwise, min_samples=5, eps=2.0)
dbscan.fit(X)
labels = dbscan.labels_
labels

array([ 0,  0,  0,  0,  0,  0,  0, -1,  0,  0,  0,  0,  0,  0,  0,  0,  0,
        0,  0,  0,  0,  0,  0, -1,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,
        0,  0,  0,  0, -1,  0,  0,  0,  0,  0,  0,  0,  0, -1,  0,  0])

unique_labels = np.unique(labels)

plt.figure(figsize=(4 * len(unique_labels), 4))

for plot_idx, cluster in enumerate(unique_labels, start=1):
    plt.subplot(1, len(unique_labels), plot_idx)

    idx = np.where(labels == cluster)[0]

    color = "black" if cluster == -1 else f"C{cluster % 10}"

    for i in idx:
        if X.ndim == 3:
            plt.plot(X[i, 0, :], alpha=0.5, color=color)
        else:
            plt.plot(X[i, :], alpha=0.5, color=color)

    if cluster == -1:
        plt.title(f"Noise ({len(idx)})")
    else:
        plt.title(f"Cluster {cluster} ({len(idx)})")

plt.tight_layout()
plt.show()

from sktime.transformations.series.paa import PAA

paa = PAA(frame_size=16) # frame_size (n points in each segment), frames (number of segments)

ts_paa = paa.fit_transform(ts1)
ts_paa.shape

(10,)

fig, ax1 = plt.subplots()
plt.grid(False)
ax1.plot(ts1)
ax2 = ax1.twiny()
ax2.plot(ts_paa, "r-", label="PAA", linestyle='--')
plt.grid(False)
plt.legend()
plt.show()

/var/folders/kj/v66zvn217x31k6lx63lt02q40000gn/T/ipykernel_3352/1813517195.py:5: UserWarning: linestyle is redundantly defined by the 'linestyle' keyword argument and the fmt string "r-" (-> linestyle='-'). The keyword argument will take precedence.
  ax2.plot(ts_paa, "r-", label="PAA", linestyle='--')

from sktime.transformations.panel.interpolate import TSInterpolator

ts_paa_interpolated = TSInterpolator(len(ts1)).fit_transform(ts_paa)
ts_paa_interpolated.shape

(150, 1)

plt.plot(ts1)
plt.plot(ts_paa_interpolated, c="r", linestyle='--')
plt.show()

from sktime.transformations.series.sax import SAX
from sklearn.preprocessing import StandardScaler
from sktime.transformations.series.adapt import TabularToSeriesAdaptor

sax = SAX(word_size=20, alphabet_size=5)

ts_sax = sax.fit_transform(ts1)

fig, ax1 = plt.subplots()
scaler = TabularToSeriesAdaptor(StandardScaler(), fit_in_transform=True)
ts_scaled = scaler.fit_transform(ts1.reshape(-1, 1))
ts_sax_scaled = scaler.fit_transform(ts_sax.reshape(-1, 1))
plt.grid(False)
ax1.plot(ts_scaled)

ax2 = ax1.twiny()
ax2.plot(scaler.fit_transform(ts_sax.reshape(-1, 1)), "r-", label="SAX", linestyle='--')
for i in range(len(ts_sax)):
    ax2.text(i, ts_sax_scaled[i], ts_sax[i], fontsize=16, color='r', horizontalalignment='center', verticalalignment='bottom')
plt.grid(False)
plt.legend()
plt.show()

/var/folders/kj/v66zvn217x31k6lx63lt02q40000gn/T/ipykernel_3352/2256990845.py:9: UserWarning: linestyle is redundantly defined by the 'linestyle' keyword argument and the fmt string "r-" (-> linestyle='-'). The keyword argument will take precedence.
  ax2.plot(scaler.fit_transform(ts_sax.reshape(-1, 1)), "r-", label="SAX", linestyle='--')

from pyts.approximation import DiscreteFourierTransform
def dft_inverse_trasform(X_dft, n_coefs, n_timestamps):
    # https://pyts.readthedocs.io/en/latest/auto_examples/approximation/plot_dft.html
    n_samples = X_dft.shape[0]
    if n_coefs % 2 == 0:
        real_idx = np.arange(1, n_coefs, 2)
        imag_idx = np.arange(2, n_coefs, 2)
        X_dft_new = np.c_[
            X_dft[:, :1],
            X_dft[:, real_idx] + 1j * np.c_[X_dft[:, imag_idx],
                                            np.zeros((n_samples, ))]
        ]
    else:
        real_idx = np.arange(1, n_coefs, 2)
        imag_idx = np.arange(2, n_coefs + 1, 2)
        X_dft_new = np.c_[
            X_dft[:, :1],
            X_dft[:, real_idx] + 1j * X_dft[:, imag_idx]
        ]
    X_irfft = np.fft.irfft(X_dft_new, n_timestamps)
    return X_irfft

n_coefs = 10
dft = DiscreteFourierTransform(n_coefs=n_coefs)

coefs = dft.fit_transform(ts1.reshape(1, -1))

plt.bar(np.arange(len(coefs.ravel())), coefs.ravel())
plt.ylabel("Amplitude")
plt.xlabel("Frequency")
plt.show()

ts_dtf_approx = dft_inverse_trasform(coefs, n_coefs, len(ts1))

plt.plot(ts1)
plt.plot(ts_dtf_approx.ravel())

[<matplotlib.lines.Line2D at 0x17efab050>]

from pyts.approximation.sfa import SymbolicFourierApproximation
from sktime.transformations.panel.dictionary_based import SFA

sfa = SFA(word_length=10, alphabet_size=5, window_size=len(ts1), save_words=True)

ts_sfa = sfa.fit_transform(ts1.reshape(1, 1, -1))
ts_sfa = sfa.word_list(word=list(ts_sfa[0][0].keys())[0])

plt.plot(ts1)
plt.title(str(ts_sfa))
plt.show()

plt.plot(X[:, 0, :].T, color="C0", alpha=0.2) 
plt.show()

from sktime.transformations.panel.pca import PCATransformer
from sklearn.preprocessing import StandardScaler

X_scaled = TabularToSeriesAdaptor(StandardScaler(), fit_in_transform=True).fit_transform(X)
pca = PCATransformer(20, random_state=0)
X_pca = pca.fit_transform(X_scaled)

plt.plot(np.cumsum(pca.pca.explained_variance_ratio_))
plt.xlabel('number of components')
plt.ylabel('cumulative explained variance')

Text(0, 0.5, 'cumulative explained variance')

pca = PCATransformer(3, random_state=0)
X_pca = pca.fit_transform(X_scaled)

plt.plot(X[:,0,:].T, color="C0")
plt.plot(X_pca[:, 0, :].T, color="C1", alpha=0.2) 
plt.show()

plt.plot(X_scaled[0, 0])
plt.plot(X_pca[0, 0])
plt.show()

from sktime.transformations.panel.reduce import Tabularizer
from sklearn.decomposition import PCA

pca_compressor = Tabularizer() * PCA(2, random_state=0)
pca_compressor

TransformerPipeline(steps=[Tabularizer(),
                           TabularToSeriesAdaptor(transformer=PCA(n_components=2, random_state=0))])

TransformerPipeline(steps=[Tabularizer(),
                           TabularToSeriesAdaptor(transformer=PCA(n_components=2, random_state=0))])

X_compressed = pca_compressor.fit_transform(X_scaled).to_numpy()
X_compressed.shape

(200, 2)

sns.scatterplot(x=X_compressed[:, 0], y=X_compressed[:, 1])
plt.show()

sns.scatterplot(x=X_compressed[:, 0], y=X_compressed[:, 1], hue=classes)
plt.show()

from sklearn.decomposition import TruncatedSVD
from sktime.transformations.panel.compose import ColumnConcatenator

svd = TruncatedSVD(2, random_state=0)

X_compressed = svd.fit_transform(X_scaled[:, 0, :])

sns.scatterplot(x=X_compressed[:, 0], y=X_compressed[:, 1])

<Axes: >

sns.scatterplot(x=X_compressed[:, 0], y=X_compressed[:, 1], hue=classes)

<Axes: >

X_svd = svd.inverse_transform(X_compressed)

plt.plot(X_scaled[0, 0])
plt.plot(X_svd[0])
plt.show()

from sktime.transformations.series.summarize import SummaryTransformer

summary = SummaryTransformer(summary_function= ("mean", "min", "max", "median", "sum", "skew", "kurt", "var", "std", "mad", "sem", "nunique", "count"))

X_features = summary.fit_transform(X)
X_features.head()

ts1_features = X_features.iloc[0].to_numpy()
ts2_features = X_features.iloc[10].to_numpy()

distance(ts1_features, ts2_features, metric="euclidean")

1.393586209172773

# !pip install tsfresh

from sktime.transformations.panel.tsfresh import TSFreshFeatureExtractor

tsfresh = TSFreshFeatureExtractor()

%%time
X_tsfresh = tsfresh.fit_transform(X)
X_tsfresh.head()

Feature Extraction:   0%|          | 0/200 [00:00<?, ?it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:   2%|▏         | 3/200 [00:00<00:08, 24.08it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:   3%|▎         | 6/200 [00:00<00:08, 23.48it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:   4%|▍         | 9/200 [00:00<00:08, 23.75it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:   6%|▌         | 12/200 [00:00<00:07, 24.23it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:   8%|▊         | 15/200 [00:00<00:07, 24.55it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:   9%|▉         | 18/200 [00:00<00:06, 26.03it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  10%|█         | 21/200 [00:00<00:06, 26.99it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  12%|█▏        | 24/200 [00:00<00:06, 27.11it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  14%|█▎        | 27/200 [00:01<00:06, 25.44it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  15%|█▌        | 30/200 [00:01<00:06, 25.12it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  16%|█▋        | 33/200 [00:01<00:06, 25.88it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  18%|█▊        | 36/200 [00:01<00:06, 25.74it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  20%|█▉        | 39/200 [00:01<00:06, 25.66it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  21%|██        | 42/200 [00:01<00:06, 26.09it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  22%|██▎       | 45/200 [00:01<00:06, 23.68it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  24%|██▍       | 48/200 [00:01<00:06, 24.48it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  26%|██▌       | 51/200 [00:02<00:05, 25.69it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  27%|██▋       | 54/200 [00:02<00:05, 26.37it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  28%|██▊       | 57/200 [00:02<00:05, 27.01it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  30%|███       | 60/200 [00:02<00:05, 26.57it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  32%|███▏      | 63/200 [00:02<00:05, 26.67it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  33%|███▎      | 66/200 [00:02<00:04, 27.33it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  34%|███▍      | 69/200 [00:02<00:04, 27.92it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  36%|███▌      | 72/200 [00:02<00:04, 27.38it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  38%|███▊      | 75/200 [00:02<00:05, 23.22it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  39%|███▉      | 78/200 [00:03<00:04, 24.49it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  40%|████      | 81/200 [00:03<00:04, 25.55it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  42%|████▏     | 84/200 [00:03<00:04, 24.85it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  44%|████▎     | 87/200 [00:03<00:04, 26.00it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  45%|████▌     | 90/200 [00:03<00:04, 27.07it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  46%|████▋     | 93/200 [00:03<00:04, 26.69it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  48%|████▊     | 96/200 [00:03<00:03, 27.28it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  50%|████▉     | 99/200 [00:03<00:03, 26.00it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  51%|█████     | 102/200 [00:03<00:04, 23.93it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  52%|█████▎    | 105/200 [00:04<00:03, 24.75it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  54%|█████▍    | 108/200 [00:04<00:03, 25.18it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  56%|█████▌    | 111/200 [00:04<00:03, 25.79it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  57%|█████▋    | 114/200 [00:04<00:03, 26.42it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  58%|█████▊    | 117/200 [00:04<00:03, 24.96it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  60%|██████    | 120/200 [00:04<00:03, 23.06it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  62%|██████▏   | 123/200 [00:04<00:03, 24.54it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  63%|██████▎   | 126/200 [00:04<00:02, 25.60it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  64%|██████▍   | 129/200 [00:05<00:02, 24.16it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  66%|██████▌   | 132/200 [00:05<00:02, 23.62it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  68%|██████▊   | 135/200 [00:05<00:03, 21.27it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  69%|██████▉   | 138/200 [00:05<00:02, 22.74it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  70%|███████   | 141/200 [00:05<00:02, 23.96it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  72%|███████▏  | 144/200 [00:05<00:02, 24.66it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  74%|███████▎  | 147/200 [00:05<00:02, 25.03it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  75%|███████▌  | 150/200 [00:05<00:01, 25.48it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  76%|███████▋  | 153/200 [00:06<00:01, 23.54it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  78%|███████▊  | 156/200 [00:06<00:01, 24.09it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  80%|███████▉  | 159/200 [00:06<00:01, 24.47it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  81%|████████  | 162/200 [00:06<00:01, 24.65it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  82%|████████▎ | 165/200 [00:06<00:01, 24.80it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  84%|████████▍ | 168/200 [00:06<00:01, 25.61it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  86%|████████▌ | 171/200 [00:06<00:01, 26.05it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  87%|████████▋ | 174/200 [00:06<00:01, 23.55it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  88%|████████▊ | 177/200 [00:07<00:00, 23.86it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  90%|█████████ | 180/200 [00:07<00:00, 23.97it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  92%|█████████▏| 183/200 [00:07<00:00, 23.20it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  93%|█████████▎| 186/200 [00:07<00:00, 23.42it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  94%|█████████▍| 189/200 [00:07<00:00, 21.85it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  96%|█████████▌| 192/200 [00:07<00:00, 23.18it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  98%|█████████▊| 195/200 [00:07<00:00, 23.65it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction:  99%|█████████▉| 198/200 [00:07<00:00, 23.45it/s]/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:546: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  if np.asarray(wavelet(1, widths[0], **kwargs)).dtype.char in 'FDG':
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/scipy/signal/_wavelets.py:554: DeprecationWarning: scipy.signal.ricker is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  wavelet_data = np.conj(wavelet(N, width, **kwargs)[::-1])
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:1388: DeprecationWarning: scipy.signal.cwt is deprecated in SciPy 1.12 and will be removed
in SciPy 1.15. We recommend using PyWavelets instead.

  calculated_cwt[widths] = cwt(x, ricker, widths)
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/feature_calculators.py:161: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
  quantiles = df.groupby("quantiles")
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/feature_extraction/extraction.py:354: UserWarning: linear_trend_timewise requires the data to have a index of type <class 'pandas.core.indexes.datetimes.DatetimeIndex'>. Results will not be calculated
  warnings.warn(
Feature Extraction: 100%|██████████| 200/200 [00:08<00:00, 24.84it/s]
/Users/francesco/miniforge3/envs/timeseries_dl/lib/python3.12/site-packages/tsfresh/utilities/dataframe_functions.py:198: RuntimeWarning: The columns ['var_0__fft_coefficient__attr_"real"__coeff_76'
 'var_0__fft_coefficient__attr_"real"__coeff_77'
 'var_0__fft_coefficient__attr_"real"__coeff_78'
 'var_0__fft_coefficient__attr_"real"__coeff_79'
 'var_0__fft_coefficient__attr_"real"__coeff_80'
 'var_0__fft_coefficient__attr_"real"__coeff_81'
 'var_0__fft_coefficient__attr_"real"__coeff_82'
 'var_0__fft_coefficient__attr_"real"__coeff_83'
 'var_0__fft_coefficient__attr_"real"__coeff_84'
 'var_0__fft_coefficient__attr_"real"__coeff_85'
 'var_0__fft_coefficient__attr_"real"__coeff_86'
 'var_0__fft_coefficient__attr_"real"__coeff_87'
 'var_0__fft_coefficient__attr_"real"__coeff_88'
 'var_0__fft_coefficient__attr_"real"__coeff_89'
 'var_0__fft_coefficient__attr_"real"__coeff_90'
 'var_0__fft_coefficient__attr_"real"__coeff_91'
 'var_0__fft_coefficient__attr_"real"__coeff_92'
 'var_0__fft_coefficient__attr_"real"__coeff_93'
 'var_0__fft_coefficient__attr_"real"__coeff_94'
 'var_0__fft_coefficient__attr_"real"__coeff_95'
 'var_0__fft_coefficient__attr_"real"__coeff_96'
 'var_0__fft_coefficient__attr_"real"__coeff_97'
 'var_0__fft_coefficient__attr_"real"__coeff_98'
 'var_0__fft_coefficient__attr_"real"__coeff_99'
 'var_0__fft_coefficient__attr_"imag"__coeff_76'
 'var_0__fft_coefficient__attr_"imag"__coeff_77'
 'var_0__fft_coefficient__attr_"imag"__coeff_78'
 'var_0__fft_coefficient__attr_"imag"__coeff_79'
 'var_0__fft_coefficient__attr_"imag"__coeff_80'
 'var_0__fft_coefficient__attr_"imag"__coeff_81'
 'var_0__fft_coefficient__attr_"imag"__coeff_82'
 'var_0__fft_coefficient__attr_"imag"__coeff_83'
 'var_0__fft_coefficient__attr_"imag"__coeff_84'
 'var_0__fft_coefficient__attr_"imag"__coeff_85'
 'var_0__fft_coefficient__attr_"imag"__coeff_86'
 'var_0__fft_coefficient__attr_"imag"__coeff_87'
 'var_0__fft_coefficient__attr_"imag"__coeff_88'
 'var_0__fft_coefficient__attr_"imag"__coeff_89'
 'var_0__fft_coefficient__attr_"imag"__coeff_90'
 'var_0__fft_coefficient__attr_"imag"__coeff_91'
 'var_0__fft_coefficient__attr_"imag"__coeff_92'
 'var_0__fft_coefficient__attr_"imag"__coeff_93'
 'var_0__fft_coefficient__attr_"imag"__coeff_94'
 'var_0__fft_coefficient__attr_"imag"__coeff_95'
 'var_0__fft_coefficient__attr_"imag"__coeff_96'
 'var_0__fft_coefficient__attr_"imag"__coeff_97'
 'var_0__fft_coefficient__attr_"imag"__coeff_98'
 'var_0__fft_coefficient__attr_"imag"__coeff_99'
 'var_0__fft_coefficient__attr_"abs"__coeff_76'
 'var_0__fft_coefficient__attr_"abs"__coeff_77'
 'var_0__fft_coefficient__attr_"abs"__coeff_78'
 'var_0__fft_coefficient__attr_"abs"__coeff_79'
 'var_0__fft_coefficient__attr_"abs"__coeff_80'
 'var_0__fft_coefficient__attr_"abs"__coeff_81'
 'var_0__fft_coefficient__attr_"abs"__coeff_82'
 'var_0__fft_coefficient__attr_"abs"__coeff_83'
 'var_0__fft_coefficient__attr_"abs"__coeff_84'
 'var_0__fft_coefficient__attr_"abs"__coeff_85'
 'var_0__fft_coefficient__attr_"abs"__coeff_86'
 'var_0__fft_coefficient__attr_"abs"__coeff_87'
 'var_0__fft_coefficient__attr_"abs"__coeff_88'
 'var_0__fft_coefficient__attr_"abs"__coeff_89'
 'var_0__fft_coefficient__attr_"abs"__coeff_90'
 'var_0__fft_coefficient__attr_"abs"__coeff_91'
 'var_0__fft_coefficient__attr_"abs"__coeff_92'
 'var_0__fft_coefficient__attr_"abs"__coeff_93'
 'var_0__fft_coefficient__attr_"abs"__coeff_94'
 'var_0__fft_coefficient__attr_"abs"__coeff_95'
 'var_0__fft_coefficient__attr_"abs"__coeff_96'
 'var_0__fft_coefficient__attr_"abs"__coeff_97'
 'var_0__fft_coefficient__attr_"abs"__coeff_98'
 'var_0__fft_coefficient__attr_"abs"__coeff_99'
 'var_0__fft_coefficient__attr_"angle"__coeff_76'
 'var_0__fft_coefficient__attr_"angle"__coeff_77'
 'var_0__fft_coefficient__attr_"angle"__coeff_78'
 'var_0__fft_coefficient__attr_"angle"__coeff_79'
 'var_0__fft_coefficient__attr_"angle"__coeff_80'
 'var_0__fft_coefficient__attr_"angle"__coeff_81'
 'var_0__fft_coefficient__attr_"angle"__coeff_82'
 'var_0__fft_coefficient__attr_"angle"__coeff_83'
 'var_0__fft_coefficient__attr_"angle"__coeff_84'
 'var_0__fft_coefficient__attr_"angle"__coeff_85'
 'var_0__fft_coefficient__attr_"angle"__coeff_86'
 'var_0__fft_coefficient__attr_"angle"__coeff_87'
 'var_0__fft_coefficient__attr_"angle"__coeff_88'
 'var_0__fft_coefficient__attr_"angle"__coeff_89'
 'var_0__fft_coefficient__attr_"angle"__coeff_90'
 'var_0__fft_coefficient__attr_"angle"__coeff_91'
 'var_0__fft_coefficient__attr_"angle"__coeff_92'
 'var_0__fft_coefficient__attr_"angle"__coeff_93'
 'var_0__fft_coefficient__attr_"angle"__coeff_94'
 'var_0__fft_coefficient__attr_"angle"__coeff_95'
 'var_0__fft_coefficient__attr_"angle"__coeff_96'
 'var_0__fft_coefficient__attr_"angle"__coeff_97'
 'var_0__fft_coefficient__attr_"angle"__coeff_98'
 'var_0__fft_coefficient__attr_"angle"__coeff_99'
 'var_0__query_similarity_count__query_None__threshold_0.0'] did not have any finite values. Filling with zeros.
  warnings.warn(

CPU times: user 7.42 s, sys: 313 ms, total: 7.73 s
Wall time: 8.24 s

ts1_tsfresh = X_tsfresh.iloc[0].to_numpy()
ts2_tsfresh = X_tsfresh.iloc[10].to_numpy()

distance(ts1_tsfresh, ts2_tsfresh, metric="euclidean")

3304148129.612794

from sktime.transformations.panel.catch22 import Catch22

catch22 = Catch22()

%%time
X_catch22 = catch22.fit_transform(X)
X_catch22.head()

CPU times: user 7.65 s, sys: 347 ms, total: 8 s
Wall time: 8.05 s

ts1_catch22 = X_catch22.iloc[0,:-1].to_numpy()  # the last value is a NaN
ts2_catch22 = X_catch22.iloc[10,:-1].to_numpy()  # the last value is a NaN

distance(ts1_catch22, ts2_catch22, metric="euclidean")

17.851150919055762

	mean	min	max	median	sum	skew	kurt	var	std	mad	sem	nunique	count	0.1	0.25	0.5	0.75	0.9
instances
0	-4.000000e-10	-0.782461	1.845811	-0.639052	-6.000000e-08	1.051883	-0.707909	1.0	1.0	0.872841	0.08165	149.0	150.0	-0.662376	-0.658058	-0.639052	0.785012	1.817564
1	-7.400000e-10	-0.814203	1.925177	-0.609387	-1.110000e-07	1.102117	-0.550013	1.0	1.0	0.862997	0.08165	149.0	150.0	-0.686238	-0.643350	-0.609387	0.719290	1.888367
2	-1.893333e-09	-0.782672	1.703739	-0.598165	-2.840000e-07	0.894229	-1.031952	1.0	1.0	0.889577	0.08165	149.0	150.0	-0.774612	-0.739111	-0.598165	1.096573	1.679056
3	1.586667e-09	-0.792305	1.783278	-0.559942	2.380000e-07	0.978800	-0.830263	1.0	1.0	0.873468	0.08165	149.0	150.0	-0.745996	-0.741088	-0.559942	0.850966	1.766673
4	2.400000e-09	-0.733465	2.053367	-0.573590	3.600000e-07	1.274075	-0.130244	1.0	1.0	0.839327	0.08165	149.0	150.0	-0.643583	-0.599016	-0.573590	0.471034	2.024544

	var_0__has_duplicate	var_0__sum_values	var_0__abs_energy	var_0__mean_abs_change	var_0__mean_change	var_0__mean_second_derivative_central	var_0__median	...	var_0__fourier_entropy__bins_5	var_0__fourier_entropy__bins_10	var_0__fourier_entropy__bins_100	var_0__permutation_entropy__dimension_3__tau_1	var_0__permutation_entropy__dimension_4__tau_1	var_0__permutation_entropy__dimension_5__tau_1	var_0__permutation_entropy__dimension_6__tau_1	var_0__permutation_entropy__dimension_7__tau_1	var_0__mean_n_absolute_max__number_of_maxima_7
0	1.0	-6.000000e-08	149.000000	0.036303	0.000062	-0.000020	-0.639052	...	0.191393	0.260914	0.417646	1.451715	2.244152	2.811924	3.156746	3.385291	1.841624
1	1.0	-1.110000e-07	148.999999	0.037238	0.000086	0.000013	-0.609387	...	0.242673	0.242673	0.399405	1.248975	1.825556	2.310987	2.699411	3.003630	1.921007
2	1.0	-2.840000e-07	148.999999	0.035247	0.000478	0.000001	-0.598165	...	0.209634	0.209634	0.417646	1.277395	1.830055	2.369587	2.811302	3.203934	1.700243
3	1.0	2.380000e-07	149.000001	0.035324	0.000170	-0.000005	-0.559942	...	0.209634	0.279155	0.399405	1.320130	1.949767	2.477421	2.870676	3.107572	1.780402
4	1.0	3.600000e-07	149.000001	0.039413	-0.000216	0.000010	-0.573590	...	0.242673	0.260914	0.537144	1.498303	2.329707	3.003242	3.320888	3.523892	2.043366

	0	1	2	3	4	5	6	7	8	9	...	12	13	14	15	16	17	18	19	20	21
instances
0	-0.519634	-0.651047	47.0	0.100000	-0.326667	19.0	48.0	0.989975	0.049087	0.146810	...	26.0	0.221477	29.0	1.315707	0.642857	2.705024	0.850	0.150	0.0800	NaN
1	-0.540265	-0.677234	46.0	0.026667	-0.306667	19.0	50.0	0.990176	0.049087	0.142685	...	26.0	0.248322	26.0	1.296189	0.703704	3.736540	0.825	0.775	0.0400	NaN
2	-0.534031	-0.658351	50.0	0.026667	-0.360000	21.0	53.0	0.989140	0.049087	0.140314	...	28.0	0.221477	34.0	1.253208	1.033333	3.003425	0.850	0.775	0.0625	NaN
3	-0.534747	-0.663526	49.0	-0.020000	0.336667	21.0	53.0	0.989461	0.049087	0.134839	...	28.0	0.241611	33.0	1.296189	0.965517	3.920290	0.850	0.750	0.0400	NaN
4	-0.454781	-0.594123	43.0	-0.060000	0.300000	18.0	48.0	0.989789	0.049087	0.160698	...	24.0	0.214765	19.0	1.323159	0.576923	3.221290	0.850	0.200	0.0400	NaN

Distance and Approximations¶

A simple ML classifier¶

Load the data¶

Distances¶

Visualize alignments¶

Euclidean¶

DTW¶

Two ways of looking at the same thing¶

DTW with sakoe-chiba window¶

DTW with itakura max slope¶

Clustering¶

Kmeans¶

DBSCAN¶

Approximation¶

PAA¶

Visualize the PAA approximation¶

Visualize the PAA approximation, interpolated¶

SAX¶

Discrete Fourier Transform¶

SFA¶

PCA¶

PCA as an approximator¶

PCA as a compressor¶

Trucated SVD¶

Feature extraction¶

Structure-based similarity¶

Basic Features¶

Global Features¶

TSFresh¶

Catch22¶