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BUG: df.sparse.to_coo() raising on duplicate colnames #43491

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Merged
merged 3 commits into from
Sep 10, 2021
Merged

BUG: df.sparse.to_coo() raising on duplicate colnames #43491

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ae40d99
BUG: df.sparse.to_coo() raising on duplicate colnames
mzeitlin11 Sep 10, 2021
a7d7d49
Merge remote-tracking branch 'upstream/master' into sparse_dup_colnames
mzeitlin11 Sep 10, 2021
7d06702
Add to_coo frame asv
mzeitlin11 Sep 10, 2021
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1 change: 1 addition & 0 deletions doc/source/whatsnew/v1.4.0.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -426,6 +426,7 @@ Reshaping

Sparse
^^^^^^
- Bug in :meth:`DataFrame.sparse.to_coo` raising ``AttributeError`` when column names are not unique (:issue:`29564`)
-
-

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7 changes: 3 additions & 4 deletions pandas/core/arrays/sparse/accessor.py
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Expand Up @@ -339,12 +339,11 @@ def to_coo(self):
dtype = dtype.subtype

cols, rows, data = [], [], []
for col, name in enumerate(self._parent):
s = self._parent[name]
row = s.array.sp_index.to_int_index().indices
for col, (_, ser) in enumerate(self._parent.iteritems()):
row = ser.array.sp_index.to_int_index().indices
cols.append(np.repeat(col, len(row)))
rows.append(row)
data.append(s.array.sp_values.astype(dtype, copy=False))
data.append(ser.array.sp_values.astype(dtype, copy=False))

cols = np.concatenate(cols)
rows = np.concatenate(rows)
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4 changes: 3 additions & 1 deletion pandas/tests/arrays/sparse/test_accessor.py
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Expand Up @@ -71,7 +71,9 @@ def test_from_spmatrix_columns(self, columns):
expected = pd.DataFrame(mat.toarray(), columns=columns).astype(dtype)
tm.assert_frame_equal(result, expected)

@pytest.mark.parametrize("colnames", [("A", "B"), (1, 2), (1, pd.NA), (0.1, 0.2)])
@pytest.mark.parametrize(
"colnames", [("A", "B"), (1, 2), (1, pd.NA), (0.1, 0.2), ("x", "x"), (0, 0)]
)
@td.skip_if_no_scipy
def test_to_coo(self, colnames):
import scipy.sparse
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