How to use test_column_regex_matching_non_str_types method in pandera

Best Python code snippet using pandera_python

test_schema_components.py

Source:test_schema_components.py

...386        # match datetimes387        [DATETIME_REGEX, [pd.Timestamp("2018/01/01")]],388    ],389)390def test_column_regex_matching_non_str_types(391    column_name_regex: str, expected_matches: List392) -> None:393    """Non-string column names should be cast into str for regex matching."""394    columns = pd.Index([1, 2.2, 3.1415, -1, -3.6, pd.Timestamp("2018/01/01")])395    column_schema = Column(name=column_name_regex, regex=True)396    matched_columns = column_schema.get_regex_columns(columns)397    assert expected_matches == matched_columns.tolist()398@pytest.mark.parametrize(399    "column_name_regex, expected_matches",400    [401        # match all402        [403            (".+", ".+"),404            [...

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