import pandas as pd
import csv

path = '/media/colas/SRV/FICHIERS/TRANSFERTS-EQUIPE/CG/FONCIER/CADASTRE/2023/Fichier national FANTOIR (situation avril 2023)/'
fan = path+'FANTOIR0423'
lst_dep = ['07','26','38','42']

if __name__ == '__main__':

    df = pd.read_table(fan,chunksize=500000)
    d07 = pd.DataFrame()
    d26 = pd.DataFrame()
    d38 = pd.DataFrame()
    d42 = pd.DataFrame()
    
    for d in df:
        d.columns=['tmp']
        d07 = pd.concat([d07,d[d.tmp.str.startswith('070')]])
        d26 = pd.concat([d26,d[d.tmp.str.startswith('260')]])
        d38 = pd.concat([d38,d[d.tmp.str.startswith('380')]])
        d42 = pd.concat([d42,d[d.tmp.str.startswith('420')]])


    d07.to_csv(path+'070.txt', header=None, index=None, quoting=csv.QUOTE_NONE)
    d26.to_csv(path+'260.txt', header=None, index=None, quoting=csv.QUOTE_NONE)
    d38.to_csv(path+'380.txt', header=None, index=None, quoting=csv.QUOTE_NONE)
    d42.to_csv(path+'420.txt', header=None, index=None, quoting=csv.QUOTE_NONE)