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

113 lines
3.2 KiB
Python

import pytest
import numpy as np
from pandas import SparseDataFrame, DataFrame
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 = 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], [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.xfail(reason='Wrong SparseBlock initialization '
'(GH 17386)')
def test_where_with_numeric_data_and_other(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():
# 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(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)