comparison redelacxlsx2csv.py @ 0:dd02fab383bf draft

"planemo upload for repository https://forgemia.inra.fr/redelac commit 841d6c6ada2dad3dd575d25aab620491fda5c611"
author siwaa
date Mon, 19 Jun 2023 15:32:54 +0000
parents
children b91beff0963c
comparison
equal deleted inserted replaced
-1:000000000000 0:dd02fab383bf
1 import sys
2 import pandas as pd
3
4 redelacXlsxInputFile = sys.argv[1]
5 redelacUSMsOutputFile = sys.argv[2]
6 redelacTecOutputFile = sys.argv[3]
7 redelacIniOutputFile = sys.argv[4]
8 redelacStationOutputFile = sys.argv[5]
9 redelacListe_plantesOutputFile = sys.argv[6]
10
11 # loading
12
13 USMsPdf = pd.read_excel(redelacXlsxInputFile, engine = 'openpyxl', sheet_name='USMs', keep_default_na=False, na_filter = False)
14 TecPdf = pd.read_excel(redelacXlsxInputFile, engine = 'openpyxl', sheet_name='Tec')
15 IniPdf = pd.read_excel(redelacXlsxInputFile, engine = 'openpyxl', sheet_name='Ini')
16 StationPdf = pd.read_excel(redelacXlsxInputFile, engine = 'openpyxl', sheet_name='Station')
17 Liste_plantesPdf = pd.read_excel(redelacXlsxInputFile, engine = 'openpyxl', sheet_name='Liste_plantes')
18
19 # sanityzing
20
21 julCol = [x for x in TecPdf.columns if x.startswith('jul')]
22
23 TecPdf[julCol] = TecPdf[julCol].astype('Int64')
24
25 USMsPdf['fclim1'] = USMsPdf['fclim1'].astype('string')
26 USMsPdf['fclim2'] = USMsPdf['fclim1'].astype('string')
27 USMsPdf['rcp'] = USMsPdf['rcp'].astype('string')
28
29 USMsPdf['Début'] = pd.to_datetime(USMsPdf['Début'], dayfirst = True)
30 USMsPdf['Fin'] = pd.to_datetime(USMsPdf['Fin'], dayfirst = True)
31
32 # saving to csv
33
34 USMsPdf.to_csv(redelacUSMsOutputFile, sep=';', date_format='%d/%m/%Y', decimal = ',', index=False)
35 TecPdf.to_csv(redelacTecOutputFile, sep=';', date_format='%d/%m/%Y', decimal = ',', float_format='%.2f', index=False)
36 IniPdf.to_csv(redelacIniOutputFile, sep=';', date_format='%d/%m/%Y', decimal = ',', index=False)
37 StationPdf.to_csv(redelacStationOutputFile, sep=';', date_format='%d/%m/%Y', decimal = ',', index=False)
38 Liste_plantesPdf.to_csv(redelacListe_plantesOutputFile, sep=';', date_format='%d/%m/%Y', decimal = ',', index=False)