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| author | Daniel Ching <carterbox@users.noreply.github.com> | 2016-08-04 08:23:45 -0500 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2016-08-04 08:23:45 -0500 |
| commit | 0b356f93d261be1c2b3b1a7fe5ab26f3f933c50f (patch) | |
| tree | 8469f38ed07185dc905a4476982ad2472d0de2f8 /numpy/lib/function_base.py | |
| parent | 0e8d3bb76aa5d854942b584bc6b508c3be225e01 (diff) | |
| download | numpy-0b356f93d261be1c2b3b1a7fe5ab26f3f933c50f.tar.gz | |
Spelling and grammar fix.
Histogram documentation was missing an 'a' in the phrase 'all around performance'.
Diffstat (limited to 'numpy/lib/function_base.py')
| -rw-r--r-- | numpy/lib/function_base.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py index 0952bf696..a866ed767 100644 --- a/numpy/lib/function_base.py +++ b/numpy/lib/function_base.py @@ -453,11 +453,11 @@ def histogram(a, bins=10, range=None, normed=False, weights=None, 'auto' Maximum of the 'sturges' and 'fd' estimators. Provides good - all round performance + all around performance. 'fd' (Freedman Diaconis Estimator) Robust (resilient to outliers) estimator that takes into - account data variability and data size . + account data variability and data size. 'doane' An improved version of Sturges' estimator that works better |