Пример #1
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def sample_pattern_datasource_with_cache(data_filenames):
    metadata = {
        'cache': [{
            'argkey': 'urlpath',
            'regex': make_path_posix(os.path.dirname(__file__)),
            'type': 'file'
        }]
    }
    return csv.CSVSource(data_filenames['sample_pattern'], metadata=metadata)
Пример #2
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def test_open(data_filenames):
    d = csv.CSVSource(data_filenames['sample1'])
    assert d.container == 'dataframe'
    assert d.description is None
    verify_datasource_interface(d)
Пример #3
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def sample_list_datasource_with_path_as_pattern_str(data_filenames):
    return csv.CSVSource(
        [data_filenames['sample2_1'], data_filenames['sample2_2']],
        path_as_pattern='sample{num:d}_{dup:d}.csv')
Пример #4
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def sample_list_datasource(data_filenames):
    return csv.CSVSource(
        [data_filenames['sample2_1'], data_filenames['sample2_2']])
Пример #5
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def sample_pattern_datasource(data_filenames):
    return csv.CSVSource(data_filenames['sample_pattern'])
Пример #6
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def sample2_datasource(data_filenames):
    return csv.CSVSource(data_filenames['sample2_all'])