API: SparseSeries comparison now returns sparse #13999
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sinhrks
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Current coverage is 85.25% (diff: 100%)@@ master #13999 diff @@
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| @@ -762,6 +762,8 @@ Note that the limitation is applied to ``fill_value`` which default is ``np.nan` | |||
| ValueError: unable to coerce current fill_value nan to int64 dtype | |||
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| - Subclassed ``SparseDataFrame`` and ``SparseSeries`` now preserve class types when slicing or transposing. (:issue:`13787`) | |||
| - ``SparseSeries`` comparison now changed to return ``SparseSeries`` (:issue:`13999`) | |||
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can you give a mini-example for this one
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| # GH 13999 | ||
| for kind in ['integer', 'block']: | ||
| for fill in [1, np.nan, 0]: | ||
| arr = SparseArray([np.nan, 1, np.nan, 2, 3]) |
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are these supposed to use kind/fill?
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thanks! |
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git diff upstream/master | flake8 --diffBecause #13985 has been fixed,
SparseSeriescomparison op now can returnSparseSeries(it returns normalSerieson current master).also fixed a bug when
SparseArraycreated fromSparseSeriesmay not inheritdtype.