55 lines
1.8 KiB
Python
55 lines
1.8 KiB
Python
import numpy as np
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import pytest
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from pandas import CategoricalIndex
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import pandas._testing as tm
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class TestFillNA:
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def test_fillna_categorical(self):
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# GH#11343
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idx = CategoricalIndex([1.0, np.nan, 3.0, 1.0], name="x")
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# fill by value in categories
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exp = CategoricalIndex([1.0, 1.0, 3.0, 1.0], name="x")
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tm.assert_index_equal(idx.fillna(1.0), exp)
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cat = idx._data
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# fill by value not in categories raises TypeError on EA, casts on CI
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msg = "Cannot setitem on a Categorical with a new category"
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with pytest.raises(TypeError, match=msg):
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cat.fillna(2.0)
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result = idx.fillna(2.0)
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expected = idx.astype(object).fillna(2.0)
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tm.assert_index_equal(result, expected)
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def test_fillna_copies_with_no_nas(self):
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# Nothing to fill, should still get a copy for the Categorical method,
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# but OK to get a view on CategoricalIndex method
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ci = CategoricalIndex([0, 1, 1])
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result = ci.fillna(0)
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assert result is not ci
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assert tm.shares_memory(result, ci)
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# But at the EA level we always get a copy.
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cat = ci._data
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result = cat.fillna(0)
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assert result._ndarray is not cat._ndarray
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assert result._ndarray.base is None
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assert not tm.shares_memory(result, cat)
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def test_fillna_validates_with_no_nas(self):
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# We validate the fill value even if fillna is a no-op
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ci = CategoricalIndex([2, 3, 3])
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cat = ci._data
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msg = "Cannot setitem on a Categorical with a new category"
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res = ci.fillna(False)
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# nothing to fill, so we dont cast
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tm.assert_index_equal(res, ci)
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# Same check directly on the Categorical
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with pytest.raises(TypeError, match=msg):
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cat.fillna(False)
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