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BUG: AssertionError using mask on a dataframe with shape (1, n) #4071

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lnlrbr opened this issue Jun 28, 2013 · 6 comments · Fixed by #4073
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BUG: AssertionError using mask on a dataframe with shape (1, n) #4071

lnlrbr opened this issue Jun 28, 2013 · 6 comments · Fixed by #4073
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Bug Indexing Related to indexing on series/frames, not to indexes themselves
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0.12

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@lnlrbr
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lnlrbr commented Jun 28, 2013

Using a DataFrame of bools to mask some values in another dataframe works great:

In [84]: pd.DataFrame([[1,2],[3,4]]).mask(pd.DataFrame([[True,False],[False, True]]))
Out[84]: 
    0   1
0 NaN   2
1   3 NaN

but not if we try on a dataframe with a single index:

In [85]: pd.DataFrame([[1,2],]).mask(pd.DataFrame([[True,False],]))
AssertionError: Number of Block dimensions (1) must equal number of axes (2)
@cpcloud
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cpcloud commented Jun 28, 2013

what version are you using?

@lnlrbr
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lnlrbr commented Jun 28, 2013

0.11.0

@cpcloud
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cpcloud commented Jun 28, 2013

different error on latest master ... marked as a bug for 0.13

This was referenced Jun 28, 2013
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@cpcloud
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cpcloud commented Jun 28, 2013

@lionelr thanks for the report

@ghost ghost assigned cpcloud Jun 28, 2013
@lnlrbr
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lnlrbr commented Jun 28, 2013

Thanks for this fast fix

@cpcloud
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cpcloud commented Jun 28, 2013

no problemo

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Bug Indexing Related to indexing on series/frames, not to indexes themselves
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BUG: fix 1xN mask on 1xN frame
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@cpcloud @lnlrbr