37 lines
898 B
Python
37 lines
898 B
Python
import logging
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import numpy as np
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import pandas as pd
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def extract_charge(table):
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"""From pdfplumber table extract the charge dataframe"""
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df = (
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pd.DataFrame(table[1:], columns=table[0])
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.replace("", np.nan)
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.dropna(subset=["Débits"])
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)
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drop_index = df[
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df["RECAPITULATIF DES OPERATIONS"].str.contains("TOTAUX", case=False)
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| df["RECAPITULATIF DES OPERATIONS"].str.contains("solde", case=False)
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].index
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df.drop(drop_index, inplace=True)
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df[""].mask(
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df["RECAPITULATIF DES OPERATIONS"].str.contains("honoraires", case=False),
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"IMI GERANCE",
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inplace=True,
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)
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df = df.astype(
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{
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"Débits": "float64",
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"Crédits": "float64",
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"Dont T.V.A.": "float64",
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"Locatif": "float64",
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"Déductible": "float64",
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}
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)
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return df
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