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| author | Dimitri Papadopoulos <3234522+DimitriPapadopoulos@users.noreply.github.com> | 2022-01-13 10:56:00 +0100 |
|---|---|---|
| committer | Dimitri Papadopoulos <3234522+DimitriPapadopoulos@users.noreply.github.com> | 2022-01-13 11:29:51 +0100 |
| commit | 58dbe260a2e41c31f1ab03e1abdb1f01da4c1edc (patch) | |
| tree | 8aada9a88cb8718941d16faafb2749462f8325e5 /numpy/doc | |
| parent | 813a0c11186ded0b5caeb853fd2b22fb9addd511 (diff) | |
| download | numpy-58dbe260a2e41c31f1ab03e1abdb1f01da4c1edc.tar.gz | |
MAINT, DOC: discard repeated words
Diffstat (limited to 'numpy/doc')
| -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: :: |