How to use test_multiindex_unique method in pandera

Best Python code snippet using pandera_python

test_hashing.py

Source:test_hashing.py Github

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...84 assert result[0] == expected[0]85 def test_hash_tuples_err(self):86 for val in [5, 'foo', pd.Timestamp('20130101')]:87 pytest.raises(TypeError, hash_tuples, val)88 def test_multiindex_unique(self):89 mi = MultiIndex.from_tuples([(118, 472), (236, 118),90 (51, 204), (102, 51)])91 assert mi.is_unique92 result = hash_pandas_object(mi)93 assert result.is_unique94 def test_multiindex_objects(self):95 mi = MultiIndex(levels=[['b', 'd', 'a'], [1, 2, 3]],96 labels=[[0, 1, 0, 2], [2, 0, 0, 1]],97 names=['col1', 'col2'])98 recons = mi._sort_levels_monotonic()99 # these are equal100 assert mi.equals(recons)101 assert Index(mi.values).equals(Index(recons.values))102 # _hashed_values and hash_pandas_object(..., index=False)...

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test_hashing.pyi

Source:test_hashing.pyi Github

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...23def test_hash_scalar(val: Any) -> None:24 ...25def test_hash_tuples_err(val: Any) -> None:26 ...27def test_multiindex_unique() -> None:28 ...29def test_multiindex_objects() -> None:30 ...31def test_hash_pandas_object(obj: Any, index: Any) -> None:32 ...33def test_hash_pandas_object2(series: Any, index: Any) -> None:34 ...35def test_hash_pandas_empty_object(obj: Any, index: Any) -> None:36 ...37def test_categorical_consistency(s1: Any, categorize: Any) -> None:38 ...39def test_categorical_with_nan_consistency() -> None:40 ...41def test_pandas_errors(obj: Any) -> None:...

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