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Setting values on a DataFrame with tz aware DatetimeIndex fails #12104

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szs8 opened this issue Jan 20, 2016 · 1 comment
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Setting values on a DataFrame with tz aware DatetimeIndex fails #12104

szs8 opened this issue Jan 20, 2016 · 1 comment
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Bug Datetime Datetime data dtype Indexing Related to indexing on series/frames, not to indexes themselves Timezones Timezone data dtype

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@szs8
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szs8 commented Jan 20, 2016 

tdf = pd.DataFrame({'a': np.arange(10), 'b': np.arange(10) + 5}, 
                   index=pd.date_range('20160119 09:00', freq='5T', 
                                       periods=10, tz='US/Eastern'))
new_values = tdf.sample(2)['b'] + 100
tdf.loc[new_values.index, 'b'] = new_values.values

This fails with KeyError: "['2016-01-19T14:00:00.000000000+0000' '2016-01-19T14:05:00.000000000+0000'] not in index

This used to work. Not sure which version broke it.
@jreback
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jreback commented Jan 20, 2016

this is a dupe of #12050, already fixed in master and will be in 0.18.0

thanks for the report

@jreback jreback closed this as completed Jan 20, 2016
@jreback jreback added Bug Datetime Datetime data dtype Indexing Related to indexing on series/frames, not to indexes themselves Timezones Timezone data dtype labels Jan 20, 2016
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Bug Datetime Datetime data dtype Indexing Related to indexing on series/frames, not to indexes themselves Timezones Timezone data dtype
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