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Oct 31, 2017
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TST: Add tests for sparse quantile/where #17568

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136 changes: 136 additions & 0 deletions pandas/tests/sparse/test_frame.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1398,3 +1398,139 @@ def test_numpy_func_call(self):
'std', 'min', 'max']
for func in funcs:
getattr(np, func)(self.frame)

@pytest.mark.parametrize('data', [
[[1, 1], [2, 2], [3, 3], [4, 4], [0, 0]],
[[1.0, 1.0], [2.0, 2.0], [3.0, 3.0], [4.0, 4.0], [nan, nan]],
[
[1.0, 1.0 + 1.0j],
[2.0 + 2.0j, 2.0],
[3.0, 3.0 + 3.0j],
[4.0 + 4.0j, 4.0],
[nan, nan]
]
])
@pytest.mark.xfail(reason='Wrong SparseBlock initialization '
'(GH 17386)')
def test_where_with_numeric_data(self, data):
# GH 17386
lower_bound = 1.5

sparse = SparseDataFrame(data)
result = sparse.where(sparse > lower_bound)

dense = DataFrame(data)
dense_expected = dense.where(dense > lower_bound)
sparse_expected = SparseDataFrame(dense_expected)

tm.assert_frame_equal(result, dense_expected)
tm.assert_sp_frame_equal(result, sparse_expected)

@pytest.mark.parametrize('data', [
[[1, 1], [2, 2], [3, 3], [4, 4], [0, 0]],
[[1.0, 1.0], [2.0, 2.0], [3.0, 3.0], [4.0, 4.0], [nan, nan]],
[
[1.0, 1.0 + 1.0j],
[2.0 + 2.0j, 2.0],
[3.0, 3.0 + 3.0j],
[4.0 + 4.0j, 4.0],
[nan, nan]
]
])
@pytest.mark.parametrize('other', [
True,
-100,
0.1,
100.0 + 100.0j
])
@pytest.mark.xfail(reason='Wrong SparseBlock initialization '
'(GH 17386)')
def test_where_with_numeric_data_and_other(self, data, other):
# GH 17386
lower_bound = 1.5

sparse = SparseDataFrame(data)
result = sparse.where(sparse > lower_bound, other)

dense = DataFrame(data)
dense_expected = dense.where(dense > lower_bound, other)
sparse_expected = SparseDataFrame(dense_expected,
default_fill_value=other)

tm.assert_frame_equal(result, dense_expected)
tm.assert_sp_frame_equal(result, sparse_expected)

@pytest.mark.xfail(reason='Wrong SparseBlock initialization '
'(GH 17386)')
def test_where_with_bool_data(self):
# GH 17386
data = [[False, False], [True, True], [False, False]]
cond = True

sparse = SparseDataFrame(data)
result = sparse.where(sparse == cond)

dense = DataFrame(data)
dense_expected = dense.where(dense == cond)
sparse_expected = SparseDataFrame(dense_expected)

tm.assert_frame_equal(result, dense_expected)
tm.assert_sp_frame_equal(result, sparse_expected)

@pytest.mark.parametrize('other', [
True,
0,
0.1,
100.0 + 100.0j
])
@pytest.mark.xfail(reason='Wrong SparseBlock initialization '
'(GH 17386)')
def test_where_with_bool_data_and_other(self, other):
# GH 17386
data = [[False, False], [True, True], [False, False]]
cond = True

sparse = SparseDataFrame(data)
result = sparse.where(sparse == cond, other)

dense = DataFrame(data)
dense_expected = dense.where(dense == cond, other)
sparse_expected = SparseDataFrame(dense_expected,
default_fill_value=other)

tm.assert_frame_equal(result, dense_expected)
tm.assert_sp_frame_equal(result, sparse_expected)

@pytest.mark.xfail(reason='Wrong SparseBlock initialization '
'(GH 17386)')
def test_quantile(self):
# GH 17386
data = [[1, 1], [2, 10], [3, 100], [nan, nan]]
q = 0.1

sparse_df = SparseDataFrame(data)
result = sparse_df.quantile(q)

dense_df = DataFrame(data)
dense_expected = dense_df.quantile(q)
sparse_expected = SparseSeries(dense_expected)

tm.assert_series_equal(result, dense_expected)
tm.assert_sp_series_equal(result, sparse_expected)

@pytest.mark.xfail(reason='Wrong SparseBlock initialization '
'(GH 17386)')
def test_quantile_multi(self):
# GH 17386
data = [[1, 1], [2, 10], [3, 100], [nan, nan]]
q = [0.1, 0.5]

sparse_df = SparseDataFrame(data)
result = sparse_df.quantile(q)

dense_df = DataFrame(data)
dense_expected = dense_df.quantile(q)
sparse_expected = SparseDataFrame(dense_expected)

tm.assert_frame_equal(result, dense_expected)
tm.assert_sp_frame_equal(result, sparse_expected)
102 changes: 102 additions & 0 deletions pandas/tests/sparse/test_series.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1419,6 +1419,108 @@ def test_deprecated_reindex_axis(self):
self.bseries.reindex_axis([0, 1, 2])
assert 'reindex' in str(m[0].message)

@pytest.mark.parametrize('data', [
[1, 1, 2, 2, 3, 3, 4, 4, 0, 0],
[1.0, 1.0, 2.0, 2.0, 3.0, 3.0, 4.0, 4.0, nan, nan],
[
1.0, 1.0 + 1.0j,
2.0 + 2.0j, 2.0,
3.0, 3.0 + 3.0j,
4.0 + 4.0j, 4.0,
nan, nan
]
])
@pytest.mark.xfail(reason='Wrong SparseBlock initialization '
'(GH 17386)')
def test_where_with_numeric_data(self, data):
# GH 17386
lower_bound = 1.5

sparse = SparseSeries(data)
result = sparse.where(sparse > lower_bound)

dense = Series(data)
dense_expected = dense.where(dense > lower_bound)
sparse_expected = SparseSeries(dense_expected)

tm.assert_series_equal(result, dense_expected)
tm.assert_sp_series_equal(result, sparse_expected)

@pytest.mark.parametrize('data', [
[1, 1, 2, 2, 3, 3, 4, 4, 0, 0],
[1.0, 1.0, 2.0, 2.0, 3.0, 3.0, 4.0, 4.0, nan, nan],
[
1.0, 1.0 + 1.0j,
2.0 + 2.0j, 2.0,
3.0, 3.0 + 3.0j,
4.0 + 4.0j, 4.0,
nan, nan
]
])
@pytest.mark.parametrize('other', [
True,
-100,
0.1,
100.0 + 100.0j
])
@pytest.mark.skip(reason='Wrong SparseBlock initialization '
'(Segfault) '
'(GH 17386)')
def test_where_with_numeric_data_and_other(self, data, other):
# GH 17386
lower_bound = 1.5

sparse = SparseSeries(data)
result = sparse.where(sparse > lower_bound, other)

dense = Series(data)
dense_expected = dense.where(dense > lower_bound, other)
sparse_expected = SparseSeries(dense_expected, fill_value=other)

tm.assert_series_equal(result, dense_expected)
tm.assert_sp_series_equal(result, sparse_expected)

@pytest.mark.xfail(reason='Wrong SparseBlock initialization '
'(GH 17386)')
def test_where_with_bool_data(self):
# GH 17386
data = [False, False, True, True, False, False]
cond = True

sparse = SparseSeries(data)
result = sparse.where(sparse == cond)

dense = Series(data)
dense_expected = dense.where(dense == cond)
sparse_expected = SparseSeries(dense_expected)

tm.assert_series_equal(result, dense_expected)
tm.assert_sp_series_equal(result, sparse_expected)

@pytest.mark.parametrize('other', [
True,
0,
0.1,
100.0 + 100.0j
])
@pytest.mark.skip(reason='Wrong SparseBlock initialization '
'(Segfault) '
'(GH 17386)')
def test_where_with_bool_data_and_other(self, other):
# GH 17386
data = [False, False, True, True, False, False]
cond = True

sparse = SparseSeries(data)
result = sparse.where(sparse == cond, other)

dense = Series(data)
dense_expected = dense.where(dense == cond, other)
sparse_expected = SparseSeries(dense_expected, fill_value=other)

tm.assert_series_equal(result, dense_expected)
tm.assert_sp_series_equal(result, sparse_expected)


@pytest.mark.parametrize(
'datetime_type', (np.datetime64,
Expand Down