Python xlrd parsować Excel xlsx do csv z konwersją daty

Question

Próbuję parsować plik Excel.xlsx do pliku csv. Tutaj jest plik Excel:

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 

My Python skrypt:

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() 

wyprowadza jednak terminy takie jak ten:

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

Jestem świadomy funkcji xldate_as_tuple lub coś takiego aby przekonwertować wyjście do znaczących wartości, ale nie mogę wymyślić, jak z niego korzystać. Każda pomoc byłaby mi bardzo wdzięczna.

Answer 1

Oto jeden z możliwych rozwiązań:

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() 

wyjściowa:

"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:

Kod:

#! /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() 

wyjściowa:

"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 "