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TST: Add sparse arithmetic ops test #12968

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TST: Add sparse arithmetic ops test #12968

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79 changes: 61 additions & 18 deletions pandas/sparse/tests/test_array.py
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Original file line number Diff line number Diff line change
Expand Up @@ -505,37 +505,80 @@ def _check_numeric_ops(self, a, b, a_dense, b_dense):
def test_float_scalar(self):
values = np.array([np.nan, 1, 2, 0, np.nan, 0, 1, 2, 1, np.nan])

a = SparseArray(values)
self._check_numeric_ops(a, 1, values, 1)
self._check_numeric_ops(a, 0, values, 0)
for kind in ['integer', 'block']:
a = SparseArray(values, kind=kind)
self._check_numeric_ops(a, 1, values, 1)
self._check_numeric_ops(a, 0, values, 0)
self._check_numeric_ops(a, 3, values, 3)

a = SparseArray(values, kind=kind, fill_value=0)
self._check_numeric_ops(a, 1, values, 1)
self._check_numeric_ops(a, 0, values, 0)
self._check_numeric_ops(a, 3, values, 3)

a = SparseArray(values, kind=kind, fill_value=2)
self._check_numeric_ops(a, 1, values, 1)
self._check_numeric_ops(a, 0, values, 0)
self._check_numeric_ops(a, 3, values, 3)

def test_float_same_index(self):
# when sp_index are the same
for kind in ['integer', 'block']:
values = np.array([np.nan, 1, 2, 0, np.nan, 0, 1, 2, 1, np.nan])
rvalues = np.array([np.nan, 2, 3, 4, np.nan, 0, 1, 3, 2, np.nan])

a = SparseArray(values, kind=kind)
b = SparseArray(rvalues, kind=kind)
self._check_numeric_ops(a, b, values, rvalues)

values = np.array([0., 1., 2., 6., 0., 0., 1., 2., 1., 0.])
rvalues = np.array([0., 2., 3., 4., 0., 0., 1., 3., 2., 0.])

a = SparseArray(values, kind=kind, fill_value=0)
b = SparseArray(rvalues, kind=kind, fill_value=0)
self._check_numeric_ops(a, b, values, rvalues)

a = SparseArray(values, fill_value=0)
self._check_numeric_ops(a, 1, values, 1)
self._check_numeric_ops(a, 0, values, 0)
def test_float_array(self):
values = np.array([np.nan, 1, 2, 0, np.nan, 0, 1, 2, 1, np.nan])
rvalues = np.array([2, np.nan, 2, 3, np.nan, 0, 1, 5, 2, np.nan])

a = SparseArray(values, fill_value=2)
self._check_numeric_ops(a, 1, values, 1)
self._check_numeric_ops(a, 0, values, 0)
for kind in ['integer', 'block']:
a = SparseArray(values, kind=kind)
b = SparseArray(rvalues, kind=kind)
self._check_numeric_ops(a, b, values, rvalues)
self._check_numeric_ops(a, b * 0, values, rvalues * 0)

def test_float_array(self):
a = SparseArray(values, kind=kind, fill_value=0)
b = SparseArray(rvalues, kind=kind)
self._check_numeric_ops(a, b, values, rvalues)

a = SparseArray(values, kind=kind, fill_value=0)
b = SparseArray(rvalues, kind=kind, fill_value=0)
self._check_numeric_ops(a, b, values, rvalues)

a = SparseArray(values, kind=kind, fill_value=1)
b = SparseArray(rvalues, kind=kind, fill_value=2)
self._check_numeric_ops(a, b, values, rvalues)

def test_float_array_different_kind(self):
values = np.array([np.nan, 1, 2, 0, np.nan, 0, 1, 2, 1, np.nan])
rvalues = np.array([2, np.nan, 2, 3, np.nan, 0, 1, 5, 2, np.nan])

a = SparseArray(values)
b = SparseArray(rvalues)
a = SparseArray(values, kind='integer')
b = SparseArray(rvalues, kind='block')
self._check_numeric_ops(a, b, values, rvalues)
self._check_numeric_ops(a, b * 0, values, rvalues * 0)

a = SparseArray(values, fill_value=0)
b = SparseArray(rvalues)
a = SparseArray(values, kind='integer', fill_value=0)
b = SparseArray(rvalues, kind='block')
self._check_numeric_ops(a, b, values, rvalues)

a = SparseArray(values, fill_value=0)
b = SparseArray(rvalues, fill_value=0)
a = SparseArray(values, kind='integer', fill_value=0)
b = SparseArray(rvalues, kind='block', fill_value=0)
self._check_numeric_ops(a, b, values, rvalues)

a = SparseArray(values, fill_value=1)
b = SparseArray(rvalues, fill_value=2)
a = SparseArray(values, kind='integer', fill_value=1)
b = SparseArray(rvalues, kind='block', fill_value=2)
self._check_numeric_ops(a, b, values, rvalues)


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