8000 BUG: fix concat of Sparse with non-sparse dtypes by jorisvandenbossche · Pull Request #34338 · pandas-dev/pandas · GitHub
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BUG: fix concat of Sparse with non-sparse dtypes #34338

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Merged
merged 7 commits into from
May 29, 2020
Merged

BUG: fix concat of Sparse with non-sparse dtypes #34338

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76618a8
add test with behaviour on released pandas
jorisvandenbossche May 23, 2020
29e63a5
fix _get_common_dtype to preserve sparse/categorical behaviour
jorisvandenbossche May 23, 2020
d6373f8
Update pandas/core/dtypes/concat.py
jorisvandenbossche May 29, 2020
7db5a9b
add link
jorisvandenbossche May 29, 2020
b4b48f2
Merge remote-tracking branch 'upstream/master' into concat-sparse-object
jorisvandenbossche May 29, 2020
20e7e4c
fix typing issue
jorisvandenbossche May 29, 2020
50fb8bc
fix import
jorisvandenbossche May 29, 2020
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Update pandas/core/dtypes/concat.py 
Co-authored-by: Tom Augspurger <TomAugspurger@users.noreply.github.com>
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@jorisvandenbossche @TomAugspurger
jorisvandenbossche and TomAugspurger authored May 29, 2020
commit d6373f830eb4301b077767556c4bee8764568023
2 changes: 1 addition & 1 deletion pandas/core/dtypes/concat.py
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Expand Up @@ -81,7 +81,7 @@ def _cast_to_common_type(arr: ArrayLike, dtype: DtypeObj) -> ArrayLike:
except ValueError:
return arr.astype(object, copy=False)

if is_sparse(arr) and not is_sparse(dtype):
if is_sparse(arr.dtype) and not is_sparse(dtype):
# problem case: SparseArray.astype(dtype) doesn't follow the specified
# dtype exactly, but converts this to Sparse[dtype] -> first manually
# convert to dense array
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Opened #34457 for this

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