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DatetimeIndex + TimeDelta gives wrong results when timezone is set #13905

jzwinck opened this Issue Aug 4, 2016 · 1 comment


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jzwinck commented Aug 4, 2016

When I add a time delta to a DatetimeIndex which is tz-aware, the results appear as UTC, but sometimes claim to be in the original non-UTC timezone.


import pandas as pd
index = pd.DatetimeIndex(['2016-06-28 05:30', '2016-06-28 05:31'], dtype='datetime64[ns, America/Chicago]')
offset = pd.Series(['00:00:05', '00:00:05'], dtype='timedelta64[ns]', index=index)
print(index + offset)
print(index + offset.values)

Actual Output

2016-06-28 05:30:00-05:00   2016-06-28 10:30:05
2016-06-28 05:31:00-05:00   2016-06-28 10:31:05
dtype: datetime64[ns]
DatetimeIndex(['2016-06-28 10:30:05-05:00', '2016-06-28 10:31:05-05:00'], dtype='datetime64[ns, America/Chicago]', freq=None)

Expected Output

2016-06-28 05:30:00-05:00   2016-06-28 05:30:05-05:00
2016-06-28 05:31:00-05:00   2016-06-28 05:31:05-05:00
dtype: datetime64[ns]
DatetimeIndex(['2016-06-28 05:30:05-05:00', '2016-06-28 05:31:05-05:00'], dtype='datetime64[ns, America/Chicago]', freq=None)

Note however that this does print the expected result:

print(index + pd.to_timedelta('00:00:05'))

I'm using Pandas 0.18.1.


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jreback commented Aug 4, 2016

yep, thought we had an issue about this, but can't seem to find it.

@jreback jreback added this to the Next Major Release milestone Aug 4, 2016

jbrockmendel added a commit to jbrockmendel/pandas that referenced this issue Dec 20, 2017

Fix Series[timedelta64]+DatetimeIndex[tz] bugs
ser + index lossed timezone
closes pandas-dev#13905

index + ser retained timezone but returned a DatetimeIndex

@jreback jreback modified the milestones: Next Major Release, 0.23.0 Dec 21, 2017

jreback added a commit that referenced this issue Jan 2, 2018

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