pandas: SparseSeries.__array__ only returns non-fills
Code Sample, a copy-pastable example if possible
>>> np.array(pd.SparseSeries([0, 1], fill_value=0))
array([1])
Expected Output
array([0, 1])
this should really be consistent with Series rather than just returning the non-fill values (i.e. rather than being equivalent to np.array(ps.SparseArray([np.nan, 1])).
output of pd.show_versions()
Pandas 0.18.1
should alone be relevant.
Apologies I’ve not checked if this is fixed in master. Just passing on issues from scikit-learn/scikit-learn#7352.
About this issue
- Original URL
- State: closed
- Created 8 years ago
- Reactions: 1
- Comments: 17 (17 by maintainers)
@hexgnu this is a bit more complicated here,
__array__can/should return a dense view of the data, but you can handle the wrapping/unwrapping to aSparseSeriesthru things like__array_wrap__(which are defined inSeries)