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| author | Charles Harris <charlesr.harris@gmail.com> | 2020-04-25 09:40:06 -0600 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2020-04-25 09:40:06 -0600 |
| commit | 59984a3596e00e088b10c58f02856e8088fcd4df (patch) | |
| tree | 71e75613c5dfa9e5e6d0416bdb522b0cdb884987 | |
| parent | 6ee49178517088966e63c2aedf6a8a5779ad5384 (diff) | |
| parent | fbe082d6aeb9356107906a66ec3879d42c4d2638 (diff) | |
| download | numpy-59984a3596e00e088b10c58f02856e8088fcd4df.tar.gz | |
Merge pull request #16075 from rgommers/doc-choice
DOC: add a note on sampling 2-D arrays to random.choice docstring
| -rw-r--r-- | numpy/random/mtrand.pyx | 5 |
1 files changed, 5 insertions, 0 deletions
diff --git a/numpy/random/mtrand.pyx b/numpy/random/mtrand.pyx index 540e19ec6..0c0c611af 100644 --- a/numpy/random/mtrand.pyx +++ b/numpy/random/mtrand.pyx @@ -848,6 +848,11 @@ cdef class RandomState: randint, shuffle, permutation Generator.choice: which should be used in new code + Notes + ----- + Sampling random rows from a 2-D array is not possible with this function, + but is possible with `Generator.choice` through its ``axis`` keyword. + Examples -------- Generate a uniform random sample from np.arange(5) of size 3: |