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NumPy >= 1.4.0 NaN-handling issues #33

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wesm opened this issue Jan 22, 2011 · 1 comment
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NumPy >= 1.4.0 NaN-handling issues #33

wesm opened this issue Jan 22, 2011 · 1 comment

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@wesm
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wesm commented Jan 22, 2011

There are a few potential NaN-casting problems floating around the codebase, e.g.:

df1 = pandas.DataFrame({'x':[5]})
df2 = pandas.DataFrame({'x':[1]})
df1.combineAdd(df2)
@wesm
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wesm commented Feb 20, 2011

I believe I've got these all fixed.

@gerigk gerigk mentioned this issue May 30, 2012
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dan-nadler pushed a commit to dan-nadler/pandas that referenced this issue Sep 23, 2019
@jamesblackburn
Merge pull request pandas-dev#33 from manahl/pandas_daterange
8f1d873 
Pandas DateRange query support
stijnvanhoey pushed a commit to stijnvanhoey/pandas that referenced this issue Dec 23, 2019
@jorisvandenbossche
Hardcode version in setup.py for now (avoid importing package / sphin…
f96a46a 
…x) (pandas-dev#33)
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@wesm