import numpy as np
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import pytest
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from pandas import (
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Categorical,
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CategoricalIndex,
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Index,
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MultiIndex,
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)
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class TestEquals:
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def test_equals_categorical(self):
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ci1 = CategoricalIndex(["a", "b"], categories=["a", "b"], ordered=True)
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ci2 = CategoricalIndex(["a", "b"], categories=["a", "b", "c"], ordered=True)
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assert ci1.equals(ci1)
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assert not ci1.equals(ci2)
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assert ci1.equals(ci1.astype(object))
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assert ci1.astype(object).equals(ci1)
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assert (ci1 == ci1).all()
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assert not (ci1 != ci1).all()
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assert not (ci1 > ci1).all()
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assert not (ci1 < ci1).all()
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assert (ci1 <= ci1).all()
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assert (ci1 >= ci1).all()
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assert not (ci1 == 1).all()
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assert (ci1 == Index(["a", "b"])).all()
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assert (ci1 == ci1.values).all()
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# invalid comparisons
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with pytest.raises(ValueError, match="Lengths must match"):
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ci1 == Index(["a", "b", "c"])
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msg = "Categoricals can only be compared if 'categories' are the same"
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with pytest.raises(TypeError, match=msg):
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ci1 == ci2
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with pytest.raises(TypeError, match=msg):
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ci1 == Categorical(ci1.values, ordered=False)
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with pytest.raises(TypeError, match=msg):
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ci1 == Categorical(ci1.values, categories=list("abc"))
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# tests
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# make sure that we are testing for category inclusion properly
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ci = CategoricalIndex(list("aabca"), categories=["c", "a", "b"])
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assert not ci.equals(list("aabca"))
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# Same categories, but different order
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# Unordered
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assert ci.equals(CategoricalIndex(list("aabca")))
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# Ordered
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assert not ci.equals(CategoricalIndex(list("aabca"), ordered=True))
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assert ci.equals(ci.copy())
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ci = CategoricalIndex(list("aabca") + [np.nan], categories=["c", "a", "b"])
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assert not ci.equals(list("aabca"))
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assert not ci.equals(CategoricalIndex(list("aabca")))
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assert ci.equals(ci.copy())
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ci = CategoricalIndex(list("aabca") + [np.nan], categories=["c", "a", "b"])
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assert not ci.equals(list("aabca") + [np.nan])
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assert ci.equals(CategoricalIndex(list("aabca") + [np.nan]))
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assert not ci.equals(CategoricalIndex(list("aabca") + [np.nan], ordered=True))
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assert ci.equals(ci.copy())
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def test_equals_categorical_unordered(self):
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# https://github.com/pandas-dev/pandas/issues/16603
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a = CategoricalIndex(["A"], categories=["A", "B"])
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b = CategoricalIndex(["A"], categories=["B", "A"])
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c = CategoricalIndex(["C"], categories=["B", "A"])
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assert a.equals(b)
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assert not a.equals(c)
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assert not b.equals(c)
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def test_equals_non_category(self):
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# GH#37667 Case where other contains a value not among ci's
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# categories ("D") and also contains np.nan
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ci = CategoricalIndex(["A", "B", np.nan, np.nan])
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other = Index(["A", "B", "D", np.nan])
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assert not ci.equals(other)
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def test_equals_multiindex(self):
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# dont raise NotImplementedError when calling is_dtype_compat
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mi = MultiIndex.from_arrays([["A", "B", "C", "D"], range(4)])
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ci = mi.to_flat_index().astype("category")
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assert not ci.equals(mi)
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