从Excel导入日期时如何在Python中保持格式（mm / dd / yyyy）

Question

I have a column in an Excel file that is filled with dates, with the mm/dd/yyyy format.

I import the column into a list in Python using this code:

first_excel_file = pd.read_excel('test.xlsx')
item_end_date = first_excel_file['Item End Date'].values.tolist()

But I get this:

[1478476800000000000, 1476921600000000000, 1488240000000000000, 1488240000000000000, 1488240000000000000, 1488326400000000000, 1489622400000000000, 1489622400000000000, 1489968000000000000, 1494288000000000000, 1454198400000000000, 1454198400000000000, 1490918400000000000, 1490918400000000000, 1490918400000000000, 1491955200000000000, 1491955200000000000, 1446249600000000000, 1509408000000000000, 1509408000000000000, 1509408000000000000, 1364688000000000000, 1391126400000000000, 1398816000000000000, 1422662400000000000, 1418428800000000000, 1419292800000000000, 1422662400000000000, 1422662400000000000, 1422662400000000000, 1423612800000000000, 1426291200000000000, 1438300800000000000]

How can I import these dates and keep their original formatting instead of getting these numeric values?

Answer 1

Are these timestamps? If so, you can convert them into dates. This may help:

from datetime import datetime
item_end_date = [datetime.fromtimestamp(adt//1000000000).strftime("%m/%d/%Y") 
                 for adt in item_end_date]

You will get:

['11/06/2016', '10/19/2016', '02/27/2017', '02/27/2017', '02/27/2017', 
 '02/28/2017', '03/15/2017', '03/15/2017', '03/19/2017', '05/08/2017', 
 '01/30/2016', '01/30/2016', '03/30/2017', '03/30/2017', '03/30/2017', 
 '04/11/2017', '04/11/2017', '10/30/2015', '10/30/2017', '10/30/2017', 
 '10/30/2017', '03/30/2013', '01/30/2014', '04/29/2014', '01/30/2015', 
 '12/12/2014', '12/22/2014', '01/30/2015', '01/30/2015', '01/30/2015', 
 '02/10/2015', '03/13/2015', '07/30/2015']