Merge pull request numpy#21856 from bramton/main

DOC: Mention uniform in the np.random.Generator.random function.

numpy/random/_generator.pyx

@@ -242,10 +242,10 @@ 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
-        the output of `random` by `(b-a)` and add `a`::
+        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
+            (b - a) * random() + a
 
         Parameters
         ----------
@@ -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 : Draw samples from the parameterized uniform distribution.
+
         Examples
         --------
         >>> rng = np.random.default_rng()