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Accessing fields in datetime64 Series #2315

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wesm opened this issue Nov 21, 2012 · 6 comments
Closed

Accessing fields in datetime64 Series #2315

wesm opened this issue Nov 21, 2012 · 6 comments
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Datetime Datetime data dtype Enhancement

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@wesm
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wesm commented Nov 21, 2012

xref: http://stackoverflow.com/questions/13478597/arithmetic-on-date-series-not-an-index-in-pandas
@jreback
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jreback commented Mar 15, 2013

this is easily accomplished via timedelta64 types, closing

@jreback jreback closed this as completed Mar 15, 2013
@wesm
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wesm commented Mar 16, 2013

I'm reopening until this is actually implemented-- it's not very easy to access fields on datetime64-dtype Series right now

@wesm wesm reopened this Mar 16, 2013
@jreback
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jreback commented Mar 16, 2013

maybe I misunderstood what the op was after
timedeltas will accomplish what they want (eg basically subtracting dates) and getting a field

I agree it's not totally implemented as need to actually have a timedeltas scalar (but indicated that in another issue)

@jreback
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jreback commented Mar 16, 2013

maybe combine with #3009?

@wesm
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wesm commented Mar 16, 2013

#3009 is a distinct concern. I wasn't actually interested in solving the OP's question per se but rather to make it possible to access the datetime fields in a datetime64 dtype Series without having to convert it to a DatetimeIndex.

@hayd
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hayd commented May 29, 2014

dealing with this in #7207

@hayd hayd closed this as completed May 29, 2014
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Datetime Datetime data dtype Enhancement
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@wesm @jreback @hayd