How to use the pytesseract.Output.DATAFRAME function in pytesseract

def test_image_to_data__pandas_support(test_file):
    with pytest.raises(TSVNotSupported):
        image_to_data(test_file, output_type=Output.DATAFRAME)

def test_image_to_data__pandas_output(test_file):
    """Test and compare the type and meta information of the result."""
    result = image_to_data(test_file, output_type=Output.DATAFRAME)
    assert isinstance(result, pandas.DataFrame)
    expected_columns = [
        'level', 'page_num', 'block_num', 'par_num', 'line_num', 'word_num',
        'left', 'top', 'width', 'height', 'conf', 'text'
    ]
    assert bool(set(result.columns).intersection(expected_columns))