Files
videotron-invoice-compilator/videotron1.py
2022-11-01 13:29:07 -04:00

39 lines
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Python
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import pandas as pd
import PySimpleGUI as sg
sg.theme("Brownblue")
layout = [[sg.T("")], [sg.Text("Choisir le fichier CSV: "), sg.Input(key="-IN2-", change_submits=True),
sg.FileBrowse(key="-IN-", file_types=(("CSV Files", "*.csv"),))], [sg.Button("Submit")]]
window = sg.Window('VIDEOTRON MOBILE DATA CALCULATOR', layout, size=(600, 150))
while True:
event, values = window.read()
if event == sg.WIN_CLOSED or event == "Exit":
break
elif event == "Submit":
pd.set_option('display.max_rows', None)
df = pd.read_csv(values["-IN2-"], sep=";",
encoding='unicode_escape', decimal=",", usecols=[9, 20, 39])
df.replace('UTILISATION POUR LE', '', regex=True, inplace=True)
df = df.set_axis(['USER', 'B', 'DATA'], axis=1)
df = df.replace('é', 'e', regex=True)
df = df.replace('Ã', 'E', regex=True)
df = df.replace('E´', 'o', regex=True)
df = df.replace('', 'c', regex=True)
df = df.replace('‰', '', regex=True)
df = df[df['B'].str.contains('DONN')]
df['DATA'] = df['DATA'].apply(
lambda x: float(x.split()[0].replace(',', '.')))
datasum = df.groupby('USER')['DATA'].sum(
min_count=1).reset_index().sort_values(by='DATA')
print(datasum)