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authorAryan Naraghi <aryan.naraghi@gmail.com>2019-07-09 12:42:42 -0400
committerEric Wieser <wieser.eric@gmail.com>2019-07-09 09:42:42 -0700
commitfc0043dea5c88d851ef4ce64679c957cd0a8a7e4 (patch)
tree01e3ca91124eeac39e4c86c2a0827a098678a983 /doc
parentc920f98072226c1604d097bdd40db6c8a5a71f06 (diff)
downloadnumpy-fc0043dea5c88d851ef4ce64679c957cd0a8a7e4.tar.gz
DOC: Fix a typo related to the range of indices (#13952)
Zero isn't positive, so the correct term should be "non-negative".
Diffstat (limited to 'doc')
-rw-r--r--doc/source/user/quickstart.rst2
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/source/user/quickstart.rst b/doc/source/user/quickstart.rst
index 09647be86..15afc64f8 100644
--- a/doc/source/user/quickstart.rst
+++ b/doc/source/user/quickstart.rst
@@ -25,7 +25,7 @@ The Basics
NumPy's main object is the homogeneous multidimensional array. It is a
table of elements (usually numbers), all of the same type, indexed by a
-tuple of positive integers. In NumPy dimensions are called *axes*.
+tuple of non-negative integers. In NumPy dimensions are called *axes*.
For example, the coordinates of a point in 3D space ``[1, 2, 1]`` has
one axis. That axis has 3 elements in it, so we say it has a length