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import numpy as np
import pandas as pd


def calcul_chute_tension(
    Ib=1, S=1.5, Un=400, L=0.1, metal="cuivre", phi=np.arccos(0.85)
):

    Ib = np.asarray(Ib)
    S = np.asarray(S)

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# %%
from sklearn.datasets import fetch_openml

usps = fetch_openml(data_id=41082)

# %%
data = usps.data
target = usps.target

# %%

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# %%
# Download the original dataset to be able to easily build an index with the
# original datetime.
# The dataset is available at:
# https://archive.ics.uci.edu/ml/machine-learning-databases/00275/Bike-Sharing-Dataset.zip
import pandas as pd

df_external = pd.read_csv(
    "~/Downloads/Bike-Sharing-Dataset/hour.csv",
    index_col=0,

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