test_clipboard.py 文件源码

python
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项目:PyDataLondon29-EmbarrassinglyParallelDAWithAWSLambda 作者: SignalMedia 项目源码 文件源码
def setUpClass(cls):
        super(TestClipboard, cls).setUpClass()
        cls.data = {}
        cls.data['string'] = mkdf(5, 3, c_idx_type='s', r_idx_type='i',
                                  c_idx_names=[None], r_idx_names=[None])
        cls.data['int'] = mkdf(5, 3, data_gen_f=lambda *args: randint(2),
                               c_idx_type='s', r_idx_type='i',
                               c_idx_names=[None], r_idx_names=[None])
        cls.data['float'] = mkdf(5, 3,
                                 data_gen_f=lambda r, c: float(r) + 0.01,
                                 c_idx_type='s', r_idx_type='i',
                                 c_idx_names=[None], r_idx_names=[None])
        cls.data['mixed'] = DataFrame({'a': np.arange(1.0, 6.0) + 0.01,
                                       'b': np.arange(1, 6),
                                       'c': list('abcde')})

        # Test columns exceeding "max_colwidth" (GH8305)
        _cw = get_option('display.max_colwidth') + 1
        cls.data['colwidth'] = mkdf(5, 3, data_gen_f=lambda *args: 'x' * _cw,
                                    c_idx_type='s', r_idx_type='i',
                                    c_idx_names=[None], r_idx_names=[None])
        # Test GH-5346
        max_rows = get_option('display.max_rows')
        cls.data['longdf'] = mkdf(max_rows + 1, 3,
                                  data_gen_f=lambda *args: randint(2),
                                  c_idx_type='s', r_idx_type='i',
                                  c_idx_names=[None], r_idx_names=[None])
        # Test for non-ascii text: GH9263
        cls.data['nonascii'] = pd.DataFrame({'en': 'in English'.split(),
                                             'es': 'en español'.split()})
        cls.data_types = list(cls.data.keys())
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