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authorBrigitta Sipocz <bsipocz@gmail.com>2019-10-15 17:41:09 -0700
committerBrigitta Sipocz <bsipocz@gmail.com>2019-10-15 17:41:09 -0700
commit1d4cd73c520ff7f91aef598a80534504909fd05b (patch)
tree15da95e6ce4ae0e417d038f3db07caca0bfa8dfe /doc
parent909abb07508b99b1907ace88e8452c68c7fa886b (diff)
downloadnumpy-1d4cd73c520ff7f91aef598a80534504909fd05b.tar.gz
DOC: avoid using random array in example
Diffstat (limited to 'doc')
-rw-r--r--doc/source/reference/maskedarray.generic.rst11
1 files changed, 5 insertions, 6 deletions
diff --git a/doc/source/reference/maskedarray.generic.rst b/doc/source/reference/maskedarray.generic.rst
index 0b5feefeb..06bdb2e9b 100644
--- a/doc/source/reference/maskedarray.generic.rst
+++ b/doc/source/reference/maskedarray.generic.rst
@@ -487,11 +487,10 @@ the last two where the inputs were masked.
Ignoring extreme values
-----------------------
-Let's consider an array ``d`` of random floats between 0 and 1. We wish to
+Let's consider an array ``d`` of floats between 0 and 1. We wish to
compute the average of the values of ``d`` while ignoring any data outside
-the range ``[0.1, 0.9]``::
+the range ``[0.2, 0.9]``::
- >>> np.random.seed(42)
- >>> d = np.random.random(10)
- >>> print(d.mean() - ma.masked_outside(d, 0.1, 0.9).mean())
- -0.003934444165904272
+ >>> d = np.linspace(0, 1, 20)
+ >>> print(d.mean() - ma.masked_outside(d, 0.2, 0.9).mean())
+ -0.05263157894736836