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| author | Sanjana M Moodbagil <msanjana9819@gmail.com> | 2022-09-16 19:25:10 +0000 |
|---|---|---|
| committer | Sanjana M Moodbagil <msanjana9819@gmail.com> | 2022-09-16 19:25:10 +0000 |
| commit | b034f6dc33ebfef2e389a7b011c7b7920cc44f68 (patch) | |
| tree | faecf99bc2f7a5c7b313ef342a04fcbbcfce24f4 /numpy/core/fromnumeric.py | |
| parent | 5f94eb858f3e181eccfda2c26db9f0b9167a8156 (diff) | |
| download | numpy-b034f6dc33ebfef2e389a7b011c7b7920cc44f68.tar.gz | |
Added example to np.prod
Diffstat (limited to 'numpy/core/fromnumeric.py')
| -rw-r--r-- | numpy/core/fromnumeric.py | 3 |
1 files changed, 3 insertions, 0 deletions
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py index e1c99e61f..fda4d71e0 100644 --- a/numpy/core/fromnumeric.py +++ b/numpy/core/fromnumeric.py @@ -3044,6 +3044,9 @@ def prod(a, axis=None, dtype=None, out=None, keepdims=np._NoValue, >>> np.prod([[1.,2.],[3.,4.]], axis=1) array([ 2., 12.]) + >>> np.prod([[1.,2.,3.],[3.,4.,5.],[1.,3.,5.]], axis=0) + array([ 3., 24., 75.]) + Or select specific elements to include: >>> np.prod([1., np.nan, 3.], where=[True, False, True]) |