从Excel导入date时如何保持Python中的格式（mm / dd / yyyy）
我在Excel文件中填充了具有mm/dd/yyyy格式的date的列。
我使用以下代码将该列导入到Python中的列表中：
first_excel_file = pd.read_excel('test.xlsx') item_end_date = first_excel_file['Item End Date'].values.tolist()
但是我得到这个：
[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]
如何导入这些date并保持其原始格式，而不是获取这些数字值？
这些时间戳吗？ 如果是这样，你可以把它们转换成date。 这可能有助于：
from datetime import datetime item_end_date = [datetime.fromtimestamp(adt//1000000000).strftime("%m/%d/%Y") for adt in item_end_date]
你会得到：
['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']