114 lines
3.1 KiB
Python
114 lines
3.1 KiB
Python
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import pytest
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import numpy as np
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from pandas import SparseSeries, Series
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from pandas.util import testing as tm
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pytestmark = pytest.mark.skip("Wrong SparseBlock initialization (GH 17386)")
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@pytest.mark.parametrize('data', [
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[1, 1, 2, 2, 3, 3, 4, 4, 0, 0],
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[1.0, 1.0, 2.0, 2.0, 3.0, 3.0, 4.0, 4.0, np.nan, np.nan],
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[
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1.0, 1.0 + 1.0j,
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2.0 + 2.0j, 2.0,
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3.0, 3.0 + 3.0j,
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4.0 + 4.0j, 4.0,
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np.nan, np.nan
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]
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])
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@pytest.mark.xfail(reason='Wrong SparseBlock initialization '
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'(GH 17386)')
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def test_where_with_numeric_data(data):
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# GH 17386
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lower_bound = 1.5
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sparse = SparseSeries(data)
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result = sparse.where(sparse > lower_bound)
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dense = Series(data)
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dense_expected = dense.where(dense > lower_bound)
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sparse_expected = SparseSeries(dense_expected)
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tm.assert_series_equal(result, dense_expected)
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tm.assert_sp_series_equal(result, sparse_expected)
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@pytest.mark.parametrize('data', [
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[1, 1, 2, 2, 3, 3, 4, 4, 0, 0],
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[1.0, 1.0, 2.0, 2.0, 3.0, 3.0, 4.0, 4.0, np.nan, np.nan],
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[
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1.0, 1.0 + 1.0j,
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2.0 + 2.0j, 2.0,
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3.0, 3.0 + 3.0j,
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4.0 + 4.0j, 4.0,
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np.nan, np.nan
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]
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])
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@pytest.mark.parametrize('other', [
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True,
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-100,
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0.1,
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100.0 + 100.0j
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])
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@pytest.mark.skip(reason='Wrong SparseBlock initialization '
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'(Segfault) '
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'(GH 17386)')
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def test_where_with_numeric_data_and_other(data, other):
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# GH 17386
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lower_bound = 1.5
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sparse = SparseSeries(data)
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result = sparse.where(sparse > lower_bound, other)
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dense = Series(data)
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dense_expected = dense.where(dense > lower_bound, other)
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sparse_expected = SparseSeries(dense_expected, fill_value=other)
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tm.assert_series_equal(result, dense_expected)
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tm.assert_sp_series_equal(result, sparse_expected)
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@pytest.mark.xfail(reason='Wrong SparseBlock initialization '
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'(GH 17386)')
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def test_where_with_bool_data():
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# GH 17386
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data = [False, False, True, True, False, False]
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cond = True
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sparse = SparseSeries(data)
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result = sparse.where(sparse == cond)
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dense = Series(data)
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dense_expected = dense.where(dense == cond)
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sparse_expected = SparseSeries(dense_expected)
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tm.assert_series_equal(result, dense_expected)
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tm.assert_sp_series_equal(result, sparse_expected)
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@pytest.mark.parametrize('other', [
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True,
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0,
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0.1,
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100.0 + 100.0j
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])
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@pytest.mark.skip(reason='Wrong SparseBlock initialization '
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'(Segfault) '
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'(GH 17386)')
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def test_where_with_bool_data_and_other(other):
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# GH 17386
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data = [False, False, True, True, False, False]
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cond = True
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sparse = SparseSeries(data)
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result = sparse.where(sparse == cond, other)
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dense = Series(data)
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dense_expected = dense.where(dense == cond, other)
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sparse_expected = SparseSeries(dense_expected, fill_value=other)
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tm.assert_series_equal(result, dense_expected)
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tm.assert_sp_series_equal(result, sparse_expected)
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