laywerrobot/lib/python3.6/site-packages/pandas/tests/sparse/series/test_indexing.py
2020-08-27 21:55:39 +02:00

113 lines
3.1 KiB
Python

import pytest
import numpy as np
from pandas import SparseSeries, Series
from pandas.util import testing as tm
pytestmark = pytest.mark.skip("Wrong SparseBlock initialization (GH 17386)")
@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, np.nan, np.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,
np.nan, np.nan
]
])
@pytest.mark.xfail(reason='Wrong SparseBlock initialization '
'(GH 17386)')
def test_where_with_numeric_data(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, np.nan, np.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,
np.nan, np.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(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():
# 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(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)