Strip timezone info in pandas

Question

I have been struggling with removing the time zone info from a column in a pandas dataframe. I have checked the following question, but it does not work for me:

Can

Answer 1

If it is always the last 6 characters that you want to ignore, you may simply slice your current string:

>>> '2015-12-01 00:00:00-06:00'[0:-6]
'2015-12-01 00:00:00'

Answer 2

If your series contains only datetimes, then you can do:

my_series.dt.tz_localize(None)

This will remove the timezone information ( it will not change the time) and return a series of naive local times, which can be exported to excel using to_excel() for example.

Answer 3

Following Beatriz Fonseca's suggestion, I ended up doing the following:

from datetime import datetime
df['dates'].apply(lambda x:datetime.replace(x,tzinfo=None))

Answer 4

Maybe help strip last 6 chars:

print df
                    datetime
0  2015-12-01 00:00:00-06:00
1  2015-12-01 00:00:00-06:00
2  2015-12-01 00:00:00-06:00

df['datetime'] = df['datetime'].astype(str).str[:-6]
print df
              datetime
0  2015-12-01 00:00:00
1  2015-12-01 00:00:00
2  2015-12-01 00:00:00

Answer 5

To remove timezone from all columns just use:

for col in df.select_dtypes(['datetimetz']).columns:
    df[col] = df[col].dt.tz_convert(None)