How to use test_check_multiple_columns method in pandera

Best Python code snippet using pandera_python

test_model.py

Source:test_model.py

...283    df = pd.DataFrame({"a": [101]})284    err_msg = r"Column\s*a\s*int_column_lt_100\s*\[101\]\s*1"285    with pytest.raises(pa.errors.SchemaErrors, match=err_msg):286        schema.validate(df, lazy=True)287def test_check_multiple_columns() -> None:288    """Test a single check decorator targeting multiple columns."""289    class Schema(pa.SchemaModel):290        a: Series[int]291        b: Series[int]292        @pa.check("a", "b")293        @classmethod294        def int_column_lt_100(cls, series: pd.Series) -> Iterable[bool]:295            return series < 100296    df = pd.DataFrame({"a": [101], "b": [200]})297    with pytest.raises(298        pa.errors.SchemaErrors, match="2 schema errors were found"299    ):300        Schema.validate(df, lazy=True)301def test_check_regex() -> None:...

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