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BUG: TZ-aware Series.where() appropriately handles default other=nan (#15701) #15711

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BUG: TZ-aware Series.where() appropriately handles default other=nan (#15701) #15711

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@jreback jreback added Bug Indexing Related to indexing on series/frames, not to indexes themselves Datetime Datetime data dtype Timezones Timezone data dtype labels Mar 17, 2017
@jreback jreback added this to the 0.20.0 milestone Mar 17, 2017
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jreback commented Mar 17, 2017

thanks @chrisaycock

@jreback jreback closed this in de17fd9 Mar 17, 2017
@chrisaycock chrisaycock deleted the GH15701 branch March 17, 2017 13:23
AnkurDedania pushed a commit to AnkurDedania/pandas that referenced this pull request Mar 21, 2017
@AnkurDedania
BUG: TZ-aware Series.where() appropriately handles default other=nan (p…
87df521 
…andas-dev#15701)

closes pandas-dev#15701

Author: Christopher C. Aycock <[email protected]>

Closes pandas-dev#15711 from chrisaycock/GH15701 and squashes the following commits:

b77f5ed [Christopher C. Aycock] BUG: TZ-aware Series.where() appropriately handles default other=nan (pandas-dev#15701)
mattip pushed a commit to mattip/pandas that referenced this pull request Apr 3, 2017
@mattip
BUG: TZ-aware Series.where() appropriately handles default other=nan (p…
2ecfa1b 
…andas-dev#15701)

closes pandas-dev#15701

Author: Christopher C. Aycock <[email protected]>

Closes pandas-dev#15711 from chrisaycock/GH15701 and squashes the following commits:

b77f5ed [Christopher C. Aycock] BUG: TZ-aware Series.where() appropriately handles default other=nan (pandas-dev#15701)
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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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where() corrupts tz-aware datetime column data
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