import numpy as np
import pandas as pd


def extract_charge(table):
    """From pdfplumber table extract the charge dataframe"""
    df = (
        pd.DataFrame(table[1:], columns=table[0])
        .replace("", np.nan)
        .dropna(subset=["Débits"])
    )
    drop_index = df[
        df["RECAPITULATIF DES OPERATIONS"].str.contains("TOTAUX", case=False)
        | df["RECAPITULATIF DES OPERATIONS"].str.contains("solde", case=False)
    ].index
    df.drop(drop_index, inplace=True)
    return df