DOC: Consistently use rng as variable name for random generators

1 files changed, 7 insertions, 7 deletions

diff --git a/doc/source/reference/random/generator.rst b/doc/source/reference/random/generator.rst
index a359d2253..7934be98a 100644
--- a/doc/source/reference/random/generator.rst
+++ b/doc/source/reference/random/generator.rst
@@ -71,13 +71,13 @@ By default, `Generator.permuted` returns a copy.  To operate in-place with
 `Generator.permuted`, pass the same array as the first argument *and* as
 the value of the ``out`` parameter.  For example,
 
-    >>> rg = np.random.default_rng()
+    >>> rng = np.random.default_rng()
     >>> x = np.arange(0, 15).reshape(3, 5)
     >>> x
     array([[ 0,  1,  2,  3,  4],
            [ 5,  6,  7,  8,  9],
            [10, 11, 12, 13, 14]])
-    >>> y = rg.permuted(x, axis=1, out=x)
+    >>> y = rng.permuted(x, axis=1, out=x)
     >>> x
     array([[ 1,  0,  2,  4,  3],  # random
            [ 6,  7,  8,  9,  5],
@@ -97,13 +97,13 @@ which dimension of the input array to use as the sequence. In the case of a
 two-dimensional array, ``axis=0`` will, in effect, rearrange the rows of the
 array, and  ``axis=1`` will rearrange the columns.  For example
 
-    >>> rg = np.random.default_rng()
+    >>> rng = np.random.default_rng()
     >>> x = np.arange(0, 15).reshape(3, 5)
     >>> x
     array([[ 0,  1,  2,  3,  4],
            [ 5,  6,  7,  8,  9],
            [10, 11, 12, 13, 14]])
-    >>> rg.permutation(x, axis=1)
+    >>> rng.permutation(x, axis=1)
     array([[ 1,  3,  2,  0,  4],  # random
            [ 6,  8,  7,  5,  9],
            [11, 13, 12, 10, 14]])
@@ -116,7 +116,7 @@ how `numpy.sort` treats it.  Each slice along the given axis is shuffled
 independently of the others.  Compare the following example of the use of
 `Generator.permuted` to the above example of `Generator.permutation`:
 
-    >>> rg.permuted(x, axis=1)
+    >>> rng.permuted(x, axis=1)
     array([[ 1,  0,  2,  4,  3],  # random
            [ 5,  7,  6,  9,  8],
            [10, 14, 12, 13, 11]])
@@ -131,9 +131,9 @@ Shuffling non-NumPy sequences
 a sequence that is not a NumPy array, it shuffles that sequence in-place.
 For example,
 
-    >>> rg = np.random.default_rng()
+    >>> rng = np.random.default_rng()
     >>> a = ['A', 'B', 'C', 'D', 'E']
-    >>> rg.shuffle(a)  # shuffle the list in-place
+    >>> rng.shuffle(a)  # shuffle the list in-place
     >>> a
     ['B', 'D', 'A', 'E', 'C']  # random