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

[lnlrbr]

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]

what version are you using?

[lnlrbr]

0.11.0

[cpcloud]

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

[cpcloud]

@lionelr thanks for the report

[lnlrbr]

Thanks for this fast fix

[cpcloud]

no problemo