以下是使用pandas datetime模块的示例代码。如输出所示，这不是合理的，它是混合date和month的。难道我做错了什么？
dates = ['20/11/17', '12/02/18', '02/05/18', '10/09/18',
'22/06/17', '12/02/15','19/11/17', '04/09/16',
'12/05/18', '11/04/15', '10/04/17', '13/06/16']
data = pd.DataFrame(data=dates, columns=['date'])
data['date_format'] = pd.to_datetime(dates)
data
输出：
date date_format
0 20/11/17 2017-11-20
1 12/02/18 2018-12-02
2 02/05/18 2018-02-05
3 10/09/18 2018-10-09
4 22/06/17 2017-06-22
5 12/02/15 2015-12-02
6 19/11/17 2017-11-19
7 04/09/16 2016-04-09
8 12/05/18 2018-12-05
9 11/04/15 2015-11-04
10 10/04/17 2017-10-04
11 13/06/16 2016-06-13