8000 Calling qcut with too many duplicates now gives an informative error by edjoesu · Pull Request #9030 · pandas-dev/pandas · GitHub
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Calling qcut with too many duplicates now gives an informative error #9030

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Calling qcut with too many duplicates now gives an informative error #9030

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Calling qcut with too many duplicates now gives an informative error …
edjoesu Dec 6, 2014
b176ac9
updated tests and docs
edjoesu Dec 7, 2014
0e17789
fixed small formatting mistake
edjoesu Dec 7, 2014
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updated tests and docs
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@edjoesu
edjoesu committed Dec 7, 2014
commit b176ac965dae1881f5a4cb456f4d1e23c0dc2375
2 changes: 1 addition & 1 deletion doc/source/whatsnew/v0.15.2.txt
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Expand Up @@ -164,7 +164,7 @@ Bug Fixes
- Bug in ``merge`` where ``how='left'`` and ``sort=False`` would not preserve left frame order (:issue:`7331`)
- Fix: The font size was only set on x axis if vertical or the y axis if horizontal. (:issue:`8765`)
- Fixed division by 0 when reading big csv files in python 3 (:issue:`8621`)

- Fixed an unclear error message in ''qcut'' when repeated values result in duplicate bin edges



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2 changes: 1 addition & 1 deletion pandas/tools/tests/test_tile.py
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Expand Up @@ -153,7 +153,7 @@ def test_qcut_specify_quantiles(self):
self.assertTrue(factor.equals(expected))

def test_qcut_all_bins_same(self):
assertRaisesRegexp(ValueError, "edges.*unique", qcut, [0,0,0,0,0,0,0,0,0,0], 3)
assertRaisesRegexp(ValueError, "quantiles.*repeated", qcut, [0,0,0,0,0,0,0,0,0,0], 3)

def test_cut_out_of_bounds(self):
arr = np.random.randn(100)
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