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authorMiss Islington (bot) <31488909+miss-islington@users.noreply.github.com>2018-06-25 04:27:01 -0700
committerTal Einat <taleinat+github@gmail.com>2018-06-25 14:27:01 +0300
commit8fd8cfa369fe4b6d6ac430cd28ead32717df7bee (patch)
treece55ef6eefc8436ee9924d6693e4882d3c6aca3b
parentac5a6e35ef4a73846136804fff924760ec67ebbd (diff)
downloadcpython-git-8fd8cfa369fe4b6d6ac430cd28ead32717df7bee.tar.gz
[3.6] bpo-33573: docs to suggest median() alternatives for non-numeric data (GH-7587) (GH-7907)
(cherry picked from commit fdd6e0bf18517c3dc5e24c48fbfe890229fad1b5)
-rw-r--r--Doc/library/statistics.rst4
1 files changed, 4 insertions, 0 deletions
diff --git a/Doc/library/statistics.rst b/Doc/library/statistics.rst
index 2aa778c4d0..652e751366 100644
--- a/Doc/library/statistics.rst
+++ b/Doc/library/statistics.rst
@@ -169,6 +169,10 @@ However, for reading convenience, most of the examples show sorted sequences.
This is suited for when your data is discrete, and you don't mind that the
median may not be an actual data point.
+ If your data is ordinal (supports order operations) but not numeric (doesn't
+ support addition), you should use :func:`median_low` or :func:`median_high`
+ instead.
+
.. seealso:: :func:`median_low`, :func:`median_high`, :func:`median_grouped`