Python-Projekte/gcstruct/gchr_error.py

import pandas as pd

base_dir = '/home/robert/projekte/python/gcstruct/Siebrecht/'


def read_csv():
    header = ['Kontonummer', 'Wert', 'Fehler', 'Beschreibung']
    df_log = pd.read_csv(base_dir + 'Siebrecht_12_2021.txt', decimal=',', sep='\t', encoding='latin-1',
                         converters={0: str, 1: str, 2: str, 3: str}, header=None, names=header)  # , skiprows=3)
    df_log['Marke_HBV'] = df_log['Kontonummer'].str.slice(4, 8)
    df_log['Site'] = df_log['Kontonummer'].str.slice(8, 10)
    df_log['Account'] = df_log['Kontonummer'].str.slice(0, 4)
    df_log['Origin'] = df_log['Kontonummer'].str.slice(10, 12)
    df_log['SalesChannel'] = df_log['Kontonummer'].str.slice(12, 14)
    df_log['CostCarrier'] = df_log['Kontonummer'].str.slice(14, 16)
    # df_log['CumulatedYear'] = df_log['Wert'].str.replace(r'\.', '', regex=True)

    df_export = pd.read_csv(base_dir + 'export_2021-12.csv', sep=';', encoding='latin-1',
                            converters={i: str for i in range(0, 200)})
    df = df_export.merge(df_log, how='left', on=['Marke_HBV', 'Site', 'Account', 'Origin', 'SalesChannel', 'CostCarrier'])
    df.to_csv(base_dir + 'export_error_2021-12.csv', decimal=',', sep=';', encoding='latin-1', index=False)

    df_bookings = pd.read_csv(base_dir + 'GuV_Bilanz_Salden_Debug.csv', decimal=',', sep=';',
                              encoding='latin-1', converters={0: str, 1: str, 6: str, 7: str})
    df = df.merge(df_bookings, how='inner', on=[])


if __name__ == '__main__':
    read_csv()