How to use test_tail_dataframe_schema method in pandera

Best Python code snippet using pandera_python

test_schemas.py

Source:test_schemas.py

...554    # Validating with head of 100 should pass555    assert schema.validate(df, head=100).equals(df)556    with pytest.raises(errors.SchemaError):557        schema.validate(df)558def test_tail_dataframe_schema() -> None:559    """Checks that validating the tail of a dataframe validates correctly."""560    df = pd.DataFrame(561        {"col1": list(range(0, 100)) + list(range(-1, -1001, -1))}562    )563    schema = DataFrameSchema(564        columns={"col1": Column(int, Check(lambda s: s < 0))}565    )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)})...

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