How to use test_sample_dataframe_schema method in pandera

Best Python code snippet using pandera_python

test_schemas.py

Source:test_schemas.py

...566    # Validating with tail of 1000 should pass567    assert schema.validate(df, tail=1000).equals(df)568    with pytest.raises(errors.SchemaError):569        schema.validate(df)570def test_sample_dataframe_schema() -> None:571    """Test the sample argument of schema.validate."""572    df = pd.DataFrame({"col1": range(1, 1001)})573    # assert all values -1574    schema = DataFrameSchema(575        columns={"col1": Column(int, Check(lambda s: s == -1))}576    )577    for seed in [11, 123456, 9000, 654]:578        sample_index = df.sample(100, random_state=seed).index579        df.loc[sample_index] = -1580        assert schema.validate(df, sample=100, random_state=seed).equals(df)581def test_dataframe_schema_str_repr() -> None:582    """Test the __str__ and __repr__ methods which are used for cleanly583    printing/logging of a DataFrameSchema."""584    schema = DataFrameSchema(...

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