--- title: Demo de calib de fake data keywords: fastai sidebar: home_sidebar nb_path: "notebooks/demo_fake_data.ipynb" ---
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import pandas as pd

from leximpact_prepare_data.calib_and_copules import (
    get_calib,
    get_fake_data,
    pandas_to_vaex,
)
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df = get_fake_data(var_name="rfr", exponent=1.5, divider=12)
df.plot()
print(f"Sum revkire : {df.revkire.sum():,}€ Sum rfr : {df.rfr.sum():,}€")
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vaex_df = pandas_to_vaex(df)
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get_calib??
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calib = get_calib(vaex_df, "revkire", 100)
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df_calib = pd.DataFrame(calib["buckets"])
df_calib
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df_calib.plot(y="mean_tranche_var")
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