How to use test_dataframe_schema_check method in pandera

Best Python code snippet using pandera_python

test_checks.py

Source:test_checks.py Github

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...356 with pytest.raises(errors.SchemaError):357 error_schema(data)358 with pytest.warns(UserWarning):359 warning_schema(data)360def test_dataframe_schema_check() -> None:361 """Test that DataFrameSchema-level Checks work properly."""362 data = pd.DataFrame([range(10) for _ in range(10)])363 schema_check_return_bool = DataFrameSchema(364 checks=Check(lambda df: (df < 10).all())365 )366 assert isinstance(schema_check_return_bool.validate(data), pd.DataFrame)367 schema_check_return_series = DataFrameSchema(368 checks=Check(lambda df: df[0] < 10)369 )370 assert isinstance(schema_check_return_series.validate(data), pd.DataFrame)371 schema_check_return_df = DataFrameSchema(checks=Check(lambda df: df < 10))372 assert isinstance(schema_check_return_df.validate(data), pd.DataFrame)373def test_dataframe_check_schema_error() -> None:374 """Test that DataFramSchema-level checks raises errors."""...

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