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authorBram <bram@cbbg.nl>2022-06-27 12:48:41 +0200
committerGitHub <noreply@github.com>2022-06-27 12:48:41 +0200
commit1ceb96bd45b9b24518de3eb314e217c942eb403c (patch)
treee831018ef16f5c515d4cd99eb5dd8c20f8ba9656 /numpy
parentf3935c9dc9a661bf818a09e46da6497220bd7dca (diff)
downloadnumpy-1ceb96bd45b9b24518de3eb314e217c942eb403c.tar.gz
DOC: Mention uniform in the np.random.Generator.random function.
Added a See also section to mention np.random.Generator.uniform.
Diffstat (limited to 'numpy')
-rw-r--r--numpy/random/_generator.pyx6
1 files changed, 5 insertions, 1 deletions
diff --git a/numpy/random/_generator.pyx b/numpy/random/_generator.pyx
index 8092c8e7a..6c8e40813 100644
--- a/numpy/random/_generator.pyx
+++ b/numpy/random/_generator.pyx
@@ -242,7 +242,7 @@ cdef class Generator:
Return random floats in the half-open interval [0.0, 1.0).
Results are from the "continuous uniform" distribution over the
- stated interval. To sample :math:`Unif[a, b), b > a` multiply
+ stated interval. To sample :math:`Unif[a, b), b > a` use `uniform` or multiply
the output of `random` by `(b-a)` and add `a`::
(b - a) * random() + a
@@ -267,6 +267,10 @@ cdef class Generator:
Array of random floats of shape `size` (unless ``size=None``, in which
case a single float is returned).
+ See Also
+ --------
+ uniform : Drawn samples from the parameterized uniform distribution.
+
Examples
--------
>>> rng = np.random.default_rng()