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author | Aryan Naraghi <aryan.naraghi@gmail.com> | 2019-07-09 12:42:42 -0400 |
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committer | Eric Wieser <wieser.eric@gmail.com> | 2019-07-09 09:42:42 -0700 |
commit | fc0043dea5c88d851ef4ce64679c957cd0a8a7e4 (patch) | |
tree | 01e3ca91124eeac39e4c86c2a0827a098678a983 /doc | |
parent | c920f98072226c1604d097bdd40db6c8a5a71f06 (diff) | |
download | numpy-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.rst | 2 |
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 |