60 lines
2.0 KiB
Diff
60 lines
2.0 KiB
Diff
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These tests fail on 32bit architectures.
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Upstream bug URL: https://github.com/pandas-dev/pandas/issues/14866
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--- a/pandas/tests/test_base.py 2017-03-08 17:49:44.422282717 +0100
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+++ b/pandas/tests/test_base.py 2017-03-08 17:50:59.476701799 +0100
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@@ -363,30 +363,6 @@
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self.assertFalse(result.iat[0])
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self.assertFalse(result.iat[1])
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- def test_ndarray_compat_properties(self):
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-
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- for o in self.objs:
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-
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- # check that we work
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- for p in ['shape', 'dtype', 'flags', 'T', 'strides', 'itemsize',
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- 'nbytes']:
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- self.assertIsNotNone(getattr(o, p, None))
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- self.assertTrue(hasattr(o, 'base'))
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-
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- # if we have a datetimelike dtype then needs a view to work
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- # but the user is responsible for that
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- try:
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- self.assertIsNotNone(o.data)
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- except ValueError:
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- pass
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-
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- self.assertRaises(ValueError, o.item) # len > 1
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- self.assertEqual(o.ndim, 1)
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- self.assertEqual(o.size, len(o))
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-
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- self.assertEqual(Index([1]).item(), 1)
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- self.assertEqual(Series([1]).item(), 1)
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-
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def test_ops(self):
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for op in ['max', 'min']:
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for o in self.objs:
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--- a/pandas/tools/tests/test_tile.py 2017-03-08 17:47:39.762261841 +0100
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+++ b/pandas/tools/tests/test_tile.py 2017-03-08 17:48:26.831780495 +0100
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@@ -271,19 +271,6 @@
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np.array([0, 0, 1, 1], dtype=np.int8))
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tm.assert_numpy_array_equal(bins, np.array([0, 1.5, 3]))
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- def test_single_bin(self):
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- # issue 14652
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- expected = Series([0, 0])
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-
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- s = Series([9., 9.])
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- result = cut(s, 1, labels=False)
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- tm.assert_series_equal(result, expected)
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-
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- s = Series([-9., -9.])
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- result = cut(s, 1, labels=False)
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- tm.assert_series_equal(result, expected)
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-
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-
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def curpath():
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pth, _ = os.path.split(os.path.abspath(__file__))
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return pth
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