How to use test_check_not_equivalent method in pandera

Best Python code snippet using pandera_python

test_dtypes.py

Source:test_dtypes.py Github

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...251 """Test that a pandas-compatible dtype can be validated by check()."""252 actual_dtype = pandas_engine.Engine.dtype(pd_dtype)253 expected_dtype = pandas_engine.Engine.dtype(dtype)254 assert actual_dtype.check(expected_dtype)255def test_check_not_equivalent(dtype: Any):256 """Test that check() rejects non-equivalent dtypes."""257 if str(pandas_engine.Engine.dtype(dtype)) == "object":258 actual_dtype = pandas_engine.Engine.dtype(int)259 else:260 actual_dtype = pandas_engine.Engine.dtype(object)261 expected_dtype = pandas_engine.Engine.dtype(dtype)262 assert actual_dtype.check(expected_dtype) is False263def test_coerce_no_cast(dtype: Any, pd_dtype: Any, data: List[Any]):264 """Test that dtypes can be coerced without casting."""265 expected_dtype = pandas_engine.Engine.dtype(dtype)266 series = pd.Series(data, dtype=pd_dtype)267 coerced_series = expected_dtype.coerce(series)268 assert series.equals(coerced_series)269 assert expected_dtype.check(...

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