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| author | James Gerity <snoopjedi@gmail.com> | 2021-01-26 17:08:06 -0500 |
|---|---|---|
| committer | James Gerity <snoopjedi@gmail.com> | 2021-01-26 17:08:06 -0500 |
| commit | f7d26c28190b430407e35c2169af88935353403c (patch) | |
| tree | 97dc637ad199fc1331670d705089a867c482b241 | |
| parent | edab247184252508b51f6012bcf86c438d1f596e (diff) | |
| download | numpy-f7d26c28190b430407e35c2169af88935353403c.tar.gz | |
Clarify description of example
| -rw-r--r-- | numpy/random/_generator.pyx | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/random/_generator.pyx b/numpy/random/_generator.pyx index 93b1d6160..0a41f13b6 100644 --- a/numpy/random/_generator.pyx +++ b/numpy/random/_generator.pyx @@ -665,8 +665,8 @@ cdef class Generator: array([3,1,0]) # random >>> #This is equivalent to rng.permutation(np.arange(5))[:3] - Generate a uniform random sample from a 2-D array, without - replacement: + Generate a uniform random sample from a 2-D array along the first + axis (the default), without replacement: >>> rng.choice([[0, 1, 2], [3, 4, 5], [6, 7, 8]], 2, replace=False) array([[3, 4, 5], # random |