Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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70 lines
1.8 KiB
70 lines
1.8 KiB
"""
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Though Index.fillna and Series.fillna has separate impl,
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test here to confirm these works as the same
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"""
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import numpy as np
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import pytest
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from pandas._libs import iNaT
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from pandas.core.dtypes.common import needs_i8_conversion
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from pandas.core.dtypes.generic import ABCMultiIndex
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from pandas import Index
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import pandas._testing as tm
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from pandas.tests.base.common import allow_na_ops
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def test_fillna(index_or_series_obj):
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# GH 11343
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obj = index_or_series_obj
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if isinstance(obj, ABCMultiIndex):
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pytest.skip("MultiIndex doesn't support isna")
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# values will not be changed
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fill_value = obj.values[0] if len(obj) > 0 else 0
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result = obj.fillna(fill_value)
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if isinstance(obj, Index):
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tm.assert_index_equal(obj, result)
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else:
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tm.assert_series_equal(obj, result)
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# check shallow_copied
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assert obj is not result
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@pytest.mark.parametrize("null_obj", [np.nan, None])
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def test_fillna_null(null_obj, index_or_series_obj):
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# GH 11343
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obj = index_or_series_obj
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klass = type(obj)
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if not allow_na_ops(obj):
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pytest.skip(f"{klass} doesn't allow for NA operations")
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elif len(obj) < 1:
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pytest.skip("Test doesn't make sense on empty data")
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elif isinstance(obj, ABCMultiIndex):
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pytest.skip(f"MultiIndex can't hold '{null_obj}'")
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values = obj.values
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fill_value = values[0]
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expected = values.copy()
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if needs_i8_conversion(obj.dtype):
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values[0:2] = iNaT
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expected[0:2] = fill_value
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else:
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values[0:2] = null_obj
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expected[0:2] = fill_value
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expected = klass(expected)
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obj = klass(values)
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result = obj.fillna(fill_value)
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if isinstance(obj, Index):
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tm.assert_index_equal(result, expected)
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else:
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tm.assert_series_equal(result, expected)
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# check shallow_copied
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assert obj is not result
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