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BUG: insert NaT into tz-aware DTI. #16357

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jreback opened this issue May 15, 2017 · 1 comment · Fixed by #18883
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BUG: insert NaT into tz-aware DTI. #16357

jreback opened this issue May 15, 2017 · 1 comment · Fixed by #18883
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Bug Datetime Datetime data dtype Reshaping Concat, Merge/Join, Stack/Unstack, Explode Timezones Timezone data dtype
Milestone
0.23.0

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@jreback
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jreback commented May 15, 2017

this should work (also should test for other index reshaping ops) & for TDI and PI

In [7]: pd.DatetimeIndex(['2017-01-01']).insert(0, pd.NaT)
Out[7]: DatetimeIndex(['NaT', '2017-01-01'], dtype='datetime64[ns]', freq=None)

In [8]: pd.DatetimeIndex(['2017-01-01'], tz='UTC').insert(0, pd.NaT)
ValueError: Passed item and index have different timezone
@jreback jreback added Bug Difficulty Intermediate Reshaping Concat, Merge/Join, Stack/Unstack, Explode Datetime Datetime data dtype Timezones Timezone data dtype labels May 15, 2017
@jreback jreback added this to the Next Major Release milestone May 15, 2017
@jreback jreback mentioned this issue May 15, 2017
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@theodoreschen
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Taking a look at this

@theodoreschen theodoreschen mentioned this issue May 25, 2017
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jbrockmendel added a commit to jbrockmendel/pandas that referenced this issue Dec 20, 2017
@jbrockmendel
Fix insert NaT into tzaware datetime index
83e7105 
closes pandas-dev#16357
@jbrockmendel jbrockmendel mentioned this issue Dec 20, 2017
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@jreback jreback modified the milestones: Next Major Release, 0.23.0 Dec 21, 2017
jreback pushed a commit that referenced this issue Dec 29, 2017
@jbrockmendel @jreback
Fix DatetimeIndex.insert(pd.NaT) for tz-aware index (#18883)
10edfd0 
closes #16357
hexgnu pushed a commit to hexgnu/pandas that referenced this issue Jan 1, 2018
@jbrockmendel @hexgnu
Fix DatetimeIndex.insert(pd.NaT) for tz-aware index (pandas-dev#18883)
598566b 
closes pandas-dev#16357
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Bug Datetime Datetime data dtype Reshaping Concat, Merge/Join, Stack/Unstack, Explode Timezones Timezone data dtype
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0.23.0
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@jreback @theodoreschen