python-3.x - 不明确的时间错误 Pandas

Question

df['first_timestamp'] = pd.to_datetime(df['first_timestamp']).dt.tz_localize('US/Central', ambiguous='infer')
df['second_timestamp'] = pd.to_datetime(df['second_timestamp']).dt.tz_localize('US/Central', ambiguous='infer')

AmbiguousTimeError: 2014-11-02 01:02:14

这些时间戳来自不包含时区的 csv 文件。如果可能的话，我想在将时区加载到我的数据库之前添加时区。该代码的模棱两可部分是不是我做错了什么？我仍然收到错误。

Answer 1

此日期时间在中央时间存在两次，例如见 here :

Nov 2, 2014 - Daylight Saving Time Ended
When local daylight time was about to reach
Sunday, November 2, 2014, 2:00:00 am clocks were turned backward 1 hour to
Sunday, November 2, 2014, 1:00:00 am local standard time instead
Sunrise and sunset was about 1 hour earlier on Nov 2, 2014 than the day before. There was more light in the morning.

如果这些实际上是 UTC，您应该从 UTC 本地化:

In [11]: pd.Series([pd.Timestamp("2014-11-02 01:02:14 UTC")]).dt.tz_convert('US/Central')
Out[11]:
0   2014-11-01 20:02:14-05:00
dtype: datetime64[ns, US/Central]

或者将 True 传递给模棱两可的标志(而不是 'infer' )来选择一个:

In [12]: pd.Series([pd.Timestamp("2014-11-02 01:02:14")]).dt.tz_localize('US/Central', ambiguous=True)
Out[12]:
0   2014-11-02 01:02:14-05:00
dtype: datetime64[ns, US/Central]