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Backport PR #59094 on branch 2.2.x (BUG: Fix sparse doctests for SciPy 1.14.0) #59104

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Merged
merged 1 commit into from
Jun 25, 2024
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Backport PR #59094 on branch 2.2.x (BUG: Fix sparse doctests for SciPy 1.14.0) #59104

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12 changes: 6 additions & 6 deletions pandas/core/arrays/sparse/accessor.py
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Original file line number Diff line number Diff line change
Expand Up @@ -92,8 +92,8 @@ def from_coo(cls, A, dense_index: bool = False) -> Series:
... ([3.0, 1.0, 2.0], ([1, 0, 0], [0, 2, 3])), shape=(3, 4)
... )
>>> A
<3x4 sparse matrix of type '<class 'numpy.float64'>'
with 3 stored elements in COOrdinate format>
<COOrdinate sparse matrix of dtype 'float64'
with 3 stored elements and shape (3, 4)>

>>> A.todense()
matrix([[0., 0., 1., 2.],
Expand Down Expand Up @@ -178,8 +178,8 @@ def to_coo(self, row_levels=(0,), column_levels=(1,), sort_labels: bool = False)
... row_levels=["A", "B"], column_levels=["C", "D"], sort_labels=True
... )
>>> A
<3x4 sparse matrix of type '<class 'numpy.float64'>'
with 3 stored elements in COOrdinate format>
<COOrdinate sparse matrix of dtype 'float64'
with 3 stored elements and shape (3, 4)>
>>> A.todense()
matrix([[0., 0., 1., 3.],
[3., 0., 0., 0.],
Expand Down Expand Up @@ -350,8 +350,8 @@ def to_coo(self):
--------
>>> df = pd.DataFrame({"A": pd.arrays.SparseArray([0, 1, 0, 1])})
>>> df.sparse.to_coo()
<4x1 sparse matrix of type '<class 'numpy.int64'>'
with 2 stored elements in COOrdinate format>
<COOrdinate sparse matrix of dtype 'int64'
with 2 stored elements and shape (4, 1)>
"""
import_optional_dependency("scipy")
from scipy.sparse import coo_matrix
Expand Down