41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
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import pytest
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import numpy as np
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from pandas import SparseDataFrame, DataFrame, SparseSeries
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from pandas.util import testing as tm
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@pytest.mark.xfail(reason='Wrong SparseBlock initialization '
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'(GH 17386)')
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def test_quantile():
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# GH 17386
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data = [[1, 1], [2, 10], [3, 100], [np.nan, np.nan]]
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q = 0.1
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sparse_df = SparseDataFrame(data)
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result = sparse_df.quantile(q)
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dense_df = DataFrame(data)
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dense_expected = dense_df.quantile(q)
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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.xfail(reason='Wrong SparseBlock initialization '
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'(GH 17386)')
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def test_quantile_multi():
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# GH 17386
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data = [[1, 1], [2, 10], [3, 100], [np.nan, np.nan]]
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q = [0.1, 0.5]
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sparse_df = SparseDataFrame(data)
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result = sparse_df.quantile(q)
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dense_df = DataFrame(data)
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dense_expected = dense_df.quantile(q)
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sparse_expected = SparseDataFrame(dense_expected)
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tm.assert_frame_equal(result, dense_expected)
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tm.assert_sp_frame_equal(result, sparse_expected)
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