Pandas: Apply pytz.FixedOffset to a Series

问题

I have a DataFrame with a timestamp column which looks like this:

0     2020-01-26 05:00:00-08:00
1     2020-01-26 06:00:00-08:00
[...]
Name: timestamp, dtype: datetime64[ns, pytz.FixedOffset(-480)]

(The timestamp is not the DataFrame's index)

I would like to have that pytz.FixedOffset(-480) applied (or rather un-applied) to the column, so that it would look like this:

0     2020-01-26 13:00:00
1     2020-01-26 14:00:00
[...]

How can I achieve this without parsing timestamp manually?

回答1:

Use Series.dt.tz_convert:

df['timestamp'] = df['timestamp'].dt.tz_convert(None)
print (df)
            timestamp
0 2020-01-26 13:00:00
1 2020-01-26 14:00:00

来源：https://stackoverflow.com/questions/59919877/pandas-apply-pytz-fixedoffset-to-a-series