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authorEric Wieser <wieser.eric@gmail.com>2017-04-26 22:33:23 +0100
committerGitHub <noreply@github.com>2017-04-26 22:33:23 +0100
commitf63e37d8769931f34e080a40f38470b06e72931b (patch)
treeea5df436719a2674376770fcb134868fddc35e7a /numpy/random
parent1a5bd45571e8bd0cad352545129f771431983a31 (diff)
parent1a0f64bc9055fa63d9e399d5430cb67d6c2a421a (diff)
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Merge pull request #8962 from MSeifert04/random_choice_docs
DOC: Wrong return type of np.random.choice and wrong variable name in parameter description.
Diffstat (limited to 'numpy/random')
-rw-r--r--numpy/random/mtrand/mtrand.pyx4
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/random/mtrand/mtrand.pyx b/numpy/random/mtrand/mtrand.pyx
index a93ed8e6e..9f901f14c 100644
--- a/numpy/random/mtrand/mtrand.pyx
+++ b/numpy/random/mtrand/mtrand.pyx
@@ -1026,7 +1026,7 @@ cdef class RandomState:
-----------
a : 1-D array-like or int
If an ndarray, a random sample is generated from its elements.
- If an int, the random sample is generated as if a was np.arange(n)
+ If an int, the random sample is generated as if a were np.arange(a)
size : int or tuple of ints, optional
Output shape. If the given shape is, e.g., ``(m, n, k)``, then
``m * n * k`` samples are drawn. Default is None, in which case a
@@ -1040,7 +1040,7 @@ cdef class RandomState:
Returns
--------
- samples : 1-D ndarray, shape (size,)
+ samples : single item or ndarray
The generated random samples
Raises