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DEPR: Deprecate pandas.datetime #30489

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merged 13 commits into from
Jan 2, 2020
Merged

DEPR: Deprecate pandas.datetime #30489

merged 13 commits into from
Jan 2, 2020

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ryankarlos
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@ryankarlos ryankarlos commented Dec 26, 2019 •
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pep8speaks commented Dec 26, 2019 •
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Hello @ryankarlos! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found:

There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻

Comment last updated at 2020-01-02 02:08:34 UTC

@ryankarlos ryankarlos changed the title Depr/remove pandas.datetime Deprecate pandas.datetime Dec 26, 2019
@ryankarlos ryankarlos force-pushed the DEPR/remove-pandas.datetime branch from 0dd69b7 to 32af092 Compare December 26, 2019 19:54
alimcmaster1
alimcmaster1 reviewed Dec 26, 2019
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alimcmaster1
alimcmaster1 reviewed Dec 26, 2019
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Thanks for the PR - left a few minor comments

@alimcmaster1 alimcmaster1 added the Deprecate Functionality to remove in pandas label Dec 26, 2019
@ryankarlos ryankarlos force-pushed the DEPR/remove-pandas.datetime branch from 32af092 to b45a47d Compare December 26, 2019 20:42
@ryankarlos ryankarlos changed the title Deprecate pandas.datetime DEPR: Deprecate pandas.datetime Dec 26, 2019
@ryankarlos ryankarlos force-pushed the DEPR/remove-pandas.datetime branch from fc08438 to 15d6e12 Compare December 27, 2019 01:23
@ryankarlos ryankarlos force-pushed the DEPR/remove-pandas.datetime branch from 15d6e12 to 624f2de Compare December 27, 2019 02:01
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ryankarlos commented Dec 27, 2019 •
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having some issues with adding this Datetime class for py36 - was trying to keep it consistent with the way np is handled - i get an error when trying to call pd.datetime in the test - can do pd.datetime.datetime although then there is the problem of warning not been generated due to _getattr not being accessedd correctly.

Also, original issue i had linked this PR with is now closed - do i need to open a new one for datetime ?

@ryankarlos ryankarlos force-pushed the DEPR/remove-pandas.datetime branch from 84f1451 to 54ce63e Compare December 28, 2019 05:01
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lithomas1 commented Dec 29, 2019 •
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@ryankarlos
The intention of the test_depr() function is to test that the getattr() function of the wrapper class(e.g. __numpy() or __datetime() in your case) raises a warning.

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alimcmaster1 commented Jan 1, 2020 •
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Also, original issue i had linked this PR with is now closed - do i need to open a new one for datetime ?

Yes please - and link the original issue. Also now that #30386 has been merged the implementation could be simplified - similar to what we do for SparseSeries/SparseDataFrame.

Also can you merge master + take a look at test failures.

Thanks!

datapythonista
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Nice change, just a minor thing.

You'll have to fix the conflicts too.

pandas/__init__.py
try:
return getattr(self.np, item)
except AttributeError:
raise AttributeError(f"module numpy has no attribute {item}")

np = __numpy()

class __Datetime:
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Why two underscores instead of one?

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This was just to make it consistent with how __numpy() was being used - same for get__attr as thats how its used in pandas/tests/api/test_api.py::TestPDApi::test_depr
but i can revert if still needed

pandas/__init__.py Outdated

def __getattr__(self, item):
self.warnings.warn(
"The pandas.datetime module is deprecated "
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same as before

datapythonista
datapythonista reviewed Jan 2, 2020
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@ryankarlos ryankarlos force-pushed the DEPR/remove-pandas.datetime branch from 38c5ea7 to e3b6fcf Compare January 2, 2020 02:08
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@alimcmaster1 @datapythonista all green now - think ive addressed the required changes.

@jorisvandenbossche jorisvandenbossche mentioned this pull request Jan 2, 2020
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@jreback jreback added this to the 1.0 milestone Jan 2, 2020
@jreback jreback merged commit 0913ed0 into pandas-dev:master Jan 2, 2020
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jreback commented Jan 2, 2020

very nice @ryankarlos thanks!

@ryankarlos ryankarlos deleted the DEPR/remove-pandas.datetime branch January 2, 2020 04:24
@mroeschke mroeschke mentioned this pull request Oct 20, 2022
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@tjni tjni mentioned this pull request Aug 30, 2023
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DEPR: Remove pandas.datetime
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@ryankarlos @pep8speaks @lithomas1 @alimcmaster1 @jreback @datapythonista