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| author | Charles Harris <charlesr.harris@gmail.com> | 2022-01-13 09:03:17 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2022-01-13 09:03:17 -0700 |
| commit | c6d95f57bff1ae390b3539bd46f1c74695b861eb (patch) | |
| tree | 97539532377c89f6dd8468c82b7501f0bc8cde54 /numpy/doc/ufuncs.py | |
| parent | 5fee4748117e752c42ee489810f272b3e65dffd3 (diff) | |
| parent | 58dbe260a2e41c31f1ab03e1abdb1f01da4c1edc (diff) | |
| download | numpy-c6d95f57bff1ae390b3539bd46f1c74695b861eb.tar.gz | |
Merge pull request #20811 from DimitriPapadopoulos/repeated
MAINT, DOC: discard repeated words
Diffstat (limited to 'numpy/doc/ufuncs.py')
| -rw-r--r-- | numpy/doc/ufuncs.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/doc/ufuncs.py b/numpy/doc/ufuncs.py index eecc15083..c99e9abc9 100644 --- a/numpy/doc/ufuncs.py +++ b/numpy/doc/ufuncs.py @@ -75,7 +75,7 @@ The axis keyword can be used to specify different axes to reduce: :: >>> np.add.reduce(np.arange(10).reshape(2,5),axis=1) array([10, 35]) -**.accumulate(arr)** applies the binary operator and generates an an +**.accumulate(arr)** applies the binary operator and generates an equivalently shaped array that includes the accumulated amount for each element of the array. A couple examples: :: |