ENH: add sparse op for int64 dtypes by sinhrks · Pull Request #13848 · pandas-dev/pandas (original) (raw)

small dtype adj needed on windows

(Pdb) c
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ERROR: test_int_array_comparison (pandas.sparse.tests.test_arithmetics.TestSparseArrayArithmetics)
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Traceback (most recent call last):
  File "C:\Users\conda\Documents\pandas3.5\pandas\sparse\tests\test_arithmetics.py", line 292, in test_int_array_comparison
    self._check_comparison_ops(a, b, values, rvalues)
  File "C:\Users\conda\Documents\pandas3.5\pandas\sparse\tests\test_arithmetics.py", line 93, in _check_comparison_ops
    self._check_bool_result(a == b_dense)
  File "C:\Users\conda\Documents\pandas3.5\pandas\sparse\array.py", line 54, in wrapper
    return _sparse_array_op(self, other, op, name)
  File "C:\Users\conda\Documents\pandas3.5\pandas\sparse\array.py", line 98, in _sparse_array_op
    dtype = _maybe_match_dtype(left, right)
  File "C:\Users\conda\Documents\pandas3.5\pandas\sparse\array.py", line 75, in _maybe_match_dtype
    raise NotImplementedError('dtypes must be identical')
NotImplementedError: dtypes must be identical

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Ran 331 tests in 49.517s

FAILED (SKIP=2, errors=1)

(pandas3.5) C:\Users\conda\Documents\pandas3.5>nosetests pandas\sparse --pdb
........> c:\users\conda\documents\pandas3.5\pandas\sparse\array.py(75)_maybe_match_dtype()
-> raise NotImplementedError('dtypes must be identical')
(Pdb) u
> c:\users\conda\documents\pandas3.5\pandas\sparse\array.py(98)_sparse_array_op()
-> dtype = _maybe_match_dtype(left, right)
(Pdb) u
> c:\users\conda\documents\pandas3.5\pandas\sparse\array.py(54)wrapper()
-> return _sparse_array_op(self, other, op, name)
(Pdb) d
> c:\users\conda\documents\pandas3.5\pandas\sparse\array.py(98)_sparse_array_op()
-> dtype = _maybe_match_dtype(left, right)
(Pdb) p left
[0, 1, 2, 0, 0, 0, 1, 2, 1, 0]
Fill: nan
IntIndex
Indices: array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])

(Pdb) p right
[2, 0, 2, 3, 0, 0, 1, 5, 2, 0]
Fill: nan
IntIndex
Indices: array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])

(Pdb) p left.dtype
dtype('int64')
(Pdb) p right.dtype
dtype('int32')
(Pdb) u