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closes #11698

Please review.

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use result = df.replace(....)

never use inplace in a test, unless you are explicity testing something that involves it explicity. this is not pandonic at all.

@jreback jreback added Bug Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Internals Related to non-user accessible pandas implementation labels Nov 29, 2015
@jreback jreback added this to the 0.18.0 milestone Nov 29, 2015
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jreback commented Nov 29, 2015

minor change, ping when green.

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modified test case.
This branch has some conflicts . Please check.

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jreback commented Nov 29, 2015

u need to fix the conflict

@varunkumar-dev varunkumar-dev force-pushed the fix_replace branch 4 times, most recently from 2d30b16 to c78536a Compare November 30, 2015 15:58
@varunkumar-dev varunkumar-dev force-pushed the fix_replace branch 2 times, most recently from 8f0d583 to f646870 Compare November 30, 2015 16:57
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@jreback There is a conflict in whatsnew file. When I am adding the bug fix message and trying to merge with the latest code , it always shows me conflicts. I merged my whatsnew file with the latest code but there is still a conflict. Please help.

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jreback commented Dec 1, 2015

lots of help on this: http://githowto.com/resolving_conflicts

you basically edit the conflicted file, picking the correct parts out. then add the files, rebase, and push

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jreback commented Dec 2, 2015

merged via 8ec8487

thanks!

@jreback jreback closed this Dec 2, 2015
@varunkumar-dev varunkumar-dev deleted the fix_replace branch December 3, 2015 02:07
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Thanks

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Bug Internals Related to non-user accessible pandas implementation Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate

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pandas.DataFrame.replace raises UnboundLocalError on mixed data types

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