import pandas as pd
import numpy as np
import matplotlib
import matplotlib.pyplot as pit
import warnings
warnings.simplefilter('ignore')
#для первой базы
subs_bs_data_session_train=pd.read_csv('subs_bs_data_session_train.csv',sep=';')

for i in range(len(subs_bs_data_session_train['DATA_VOL_MB'])):
    if subs_bs_data_session_train['DATA_VOL_MB'][i][0]==',':
        subs_bs_data_session_train['DATA_VOL_MB'][i]='0.'+subs_bs_data_session_train['DATA_VOL_MB'][i][1:]
    else:
        subs_bs_data_session_train['DATA_VOL_MB'][i]=subs_bs_data_session_train['DATA_VOL_MB'][i].replace(',','.')

subs_bs_data_session_train.to_csv("subs_bs_data_session_train1.csv")

#второй
subs_bs_voice_session_train=pd.read_csv('subs_bs_voice_session_train.csv',sep=';')
for i in range(len(subs_bs_voice_session_train['VOICE_DUR_MIN'])):
    if subs_bs_voice_session_train['VOICE_DUR_MIN'][i][0]==',':
        subs_bs_voice_session_train['VOICE_DUR_MIN'][i]='0.'+subs_bs_voice_session_train['VOICE_DUR_MIN'][i][1:]
    else:
        subs_bs_voice_session_train['VOICE_DUR_MIN'][i]=subs_bs_voice_session_train['VOICE_DUR_MIN'][i].replace(',','.')

subs_bs_voice_session_train.to_csv("subs_bs_voice_session_train1.csv")