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| author | guoci <zguoci@gmail.com> | 2018-11-20 13:29:24 -0500 |
|---|---|---|
| committer | guoci <zguoci@gmail.com> | 2018-11-20 13:29:24 -0500 |
| commit | b0b07cabd11510e03cc42d6f66ecebb6eb5f10a4 (patch) | |
| tree | 31f53c5441f6941c2844b5bf833ed27310cfc635 /numpy/lib/tests/test_histograms.py | |
| parent | c3c6cd5e70e1f10ce374fb580debc846922a9232 (diff) | |
| download | numpy-b0b07cabd11510e03cc42d6f66ecebb6eb5f10a4.tar.gz | |
resolve issues from review
Diffstat (limited to 'numpy/lib/tests/test_histograms.py')
| -rw-r--r-- | numpy/lib/tests/test_histograms.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/lib/tests/test_histograms.py b/numpy/lib/tests/test_histograms.py index 67a94877d..49c0d9720 100644 --- a/numpy/lib/tests/test_histograms.py +++ b/numpy/lib/tests/test_histograms.py @@ -544,8 +544,8 @@ class TestHistogramOptimBinNums(object): a, b = np.histogram(outlier_dataset, estimator) assert_equal(len(a), numbins) - def test_scott_vs_ise(self): - """Verify that Scott's rule and the ISE based method converges for normally distributed data""" + def test_scott_vs_stone(self): + """Verify that Scott's rule and Stone's rule converges for normally distributed data""" def nbins_ratio(seed, size): rng = np.random.RandomState(seed) |