我有这个数据帧：

        timestamp   dttm_utc            value       estimated  anomaly
0       1325376300  2012-01-01 00:05:00  16.9444          0      NaN
1       1325376600  2012-01-01 00:10:00  16.6837          0      NaN
2       1325376900  2012-01-01 00:15:00  16.6837          0      NaN
3       1325377200  2012-01-01 00:20:00  16.9444          0      NaN
4       1325377500  2012-01-01 00:25:00  16.1623          0      NaN
5       1325377800  2012-01-01 00:30:00  16.6837          0      NaN
6       1325378100  2012-01-01 00:35:00  16.1623          0      NaN
7       1325378400  2012-01-01 00:40:00  16.4230          0      NaN
8       1325378700  2012-01-01 00:45:00  16.1623          0      NaN
9       1325379000  2012-01-01 00:50:00  17.2051          0      NaN

如何将dttm_utc更改为带有时区偏移的ISO8601格式？

解决方法:

如果您的对象是日期时间对象,则可以使用obj.isoformat()直接将其转换为ISO.如果您的对象不是datetime对象,则可以使用strptime进行转换.

比如说,如果你使用熊猫：

my_obj['dttm_iso8601'] = datetime.datetime.strptime(
        my_obj['dttm_utc'],
        '%Y-%m-%s %h:%m:%s'
    ).isoformat()