Python xlrd analysieren Excel xlsx zu csv mit Datum Konvertierung

Question

Ich versuche, eine Excel.xlsx-Datei zu einer CSV-Datei zu analysieren. Hier ist die Excel-Datei:

Date   Person 1  Person 2 
02/03/2015 Bob   James A  
03/03/2015 Billy  Nic  
04/03/2015 Sally  Mark  
05/03/2015 Alan   James A  
06/03/2015 James W  James A 

Mein Python-Skript:

import xlrd 
import csv 

book = xlrd.open_workbook('rota.xlsx') 

sheet = book.sheet_by_name('Sheet1') 

csvfile = open('output.csv', 'wb') 
wr = csv.writer(csvfile, quoting=csv.QUOTE_ALL) 

for rownum in range(sheet.nrows): 
    wr.writerow(sheet.row_values(rownum)) 

csvfile.close() 

aber es gibt die Daten wie folgt aus:

Date,Person1,Person2 
41884,Bob,James B 
41885,Billy,Nic 
41886,Sally,Mark 
41887,Alan,James A 
41888,James W,James A 

Ich bin mir bewusst, der xldate_as_tuple Funktion oder so etwas wie dieses um die Ausgabe in sinnvolle Werte zu konvertieren, aber ich kann nicht herausfinden, wie man es benutzt. Jede Hilfe wäre ich sehr dankbar. Hier

Answer 1

ist eine mögliche Lösung:

import xlrd 
import csv 
from datetime import datetime 


book = xlrd.open_workbook('rota.xlsx') 
sheet = book.sheet_by_name('Sheet1') 
csvfile = open('output5.csv', 'wb') 

wr = csv.writer(csvfile, quoting=csv.QUOTE_ALL) 
wr.writerow(sheet.row_values(0)) 

for rownum in range(1,sheet.nrows): 
    year, month, day, hour, minute, sec = xlrd.xldate_as_tuple(int(sheet.row_values(rownum)[0]), book.datemode) 
    py_date = datetime(year, month, day, hour, minute) 
    wr.writerow([py_date] + sheet.row_values(rownum)[1:]) 

csvfile.close() 

Ausgang:

"Date  "," Person 1","Person 2" 
"2015-02-03 00:00:00"," Bob  ","James A " 
"2015-03-03 00:00:00"," Billy ","Nic  " 
"2015-04-03 00:00:00"," Sally ","Mark " 
"2015-05-03 00:00:00"," Alan ","James A " 
"2015-06-03 00:00:00","James W ","James A " 

Version2:

Code:

#! /usr/bin/python 

import xlrd 
import csv 
from datetime import datetime 

book = xlrd.open_workbook('rota.xlsx') 
sheet = book.sheet_by_name('Sheet1') 
csvfile = open('output5.csv', 'wb') 
wr = csv.writer(csvfile, quoting=csv.QUOTE_ALL) 

for rownum in range(sheet.nrows): 
    date = sheet.row_values(rownum)[0] 
    if isinstance(date, float) or isinstance(date, int): 
     year, month, day, hour, minute, sec = xlrd.xldate_as_tuple(date, book.datemode) 
     py_date = "%02d/%02d/%04d" % (month, day,year) 
     wr.writerow([py_date] + sheet.row_values(rownum)[1:]) 
    else: 
     wr.writerow(sheet.row_values(rownum)) 
csvfile.close() 

Ausgang:

"Date  "," Person 1","Person 2" 
"02/03/2015"," Bob  ","James A " 
"03/03/2015"," Billy ","Nic  " 
"04/03/2015"," Sally ","Mark " 
"05/03/2015"," Alan ","James A " 
"06/03/2015","James W ","James A "