|
| 1 | +import unittest |
| 2 | + |
| 3 | +import numpy as np |
| 4 | +from numpy.random import randint |
| 5 | + |
| 6 | +import nose |
| 7 | + |
| 8 | +from pandas import DataFrame |
| 9 | +from pandas import read_clipboard |
| 10 | +from pandas.util import testing as tm |
| 11 | +from pandas.util.testing import makeCustomDataframe as mkdf |
| 12 | + |
| 13 | + |
| 14 | +try: |
| 15 | + import pandas.util.clipboard |
| 16 | +except OSError: |
| 17 | + raise nose.SkipTest("no clipboard found") |
| 18 | + |
| 19 | + |
| 20 | +class TestClipboard(unittest.TestCase): |
| 21 | + @classmethod |
| 22 | + def setUpClass(cls): |
| 23 | + cls.data = {} |
| 24 | + cls.data['string'] = mkdf(5, 3, c_idx_type='s', r_idx_type='i', |
| 25 | + c_idx_names=[None], r_idx_names=[None]) |
| 26 | + cls.data['int'] = mkdf(5, 3, data_gen_f=lambda *args: randint(2), |
| 27 | + c_idx_type='s', r_idx_type='i', |
| 28 | + c_idx_names=[None], r_idx_names=[None]) |
| 29 | + cls.data['float'] = mkdf(5, 3, |
| 30 | + data_gen_f=lambda r, c: float(r) + 0.01, |
| 31 | + c_idx_type='s', r_idx_type='i', |
| 32 | + c_idx_names=[None], r_idx_names=[None]) |
| 33 | + cls.data['mixed'] = DataFrame({'a': np.arange(1.0, 6.0) + 0.01, |
| 34 | + 'b': np.arange(1, 6), |
| 35 | + 'c': list('abcde')}) |
| 36 | + cls.data_types = cls.data.keys() |
| 37 | + |
| 38 | + @classmethod |
| 39 | + def tearDownClass(cls): |
| 40 | + del cls.data_types, cls.data |
| 41 | + |
| 42 | + def check_round_trip_frame(self, data_type): |
| 43 | + data = self.data[data_type] |
| 44 | + data.to_clipboard() |
| 45 | + result = read_clipboard() |
| 46 | + tm.assert_frame_equal(data, result) |
| 47 | + |
| 48 | + def test_round_trip_frame(self): |
| 49 | + for dt in self.data_types: |
| 50 | + self.check_round_trip_frame(dt) |
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