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author | David Pitchford <david.t.pitchford@gmail.com> | 2020-07-07 22:16:29 -0500 |
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committer | David Pitchford <david.t.pitchford@gmail.com> | 2020-07-07 22:16:29 -0500 |
commit | 4de4f336833f3ff8e5e283e3d07026bba8aa5127 (patch) | |
tree | bdda1c7f617dfa5b8031a4d11e1dfb95b3b724b5 /doc/source/reference/arrays.nditer.rst | |
parent | e641d8b35484d786f399e8cd9349b2a6c09269d1 (diff) | |
download | numpy-4de4f336833f3ff8e5e283e3d07026bba8aa5127.tar.gz |
Added note at the top of the reference section on iteration linking to the quickstart documentation section on basic iteration
Diffstat (limited to 'doc/source/reference/arrays.nditer.rst')
-rw-r--r-- | doc/source/reference/arrays.nditer.rst | 4 |
1 files changed, 4 insertions, 0 deletions
diff --git a/doc/source/reference/arrays.nditer.rst b/doc/source/reference/arrays.nditer.rst index 2db12a408..158a994f6 100644 --- a/doc/source/reference/arrays.nditer.rst +++ b/doc/source/reference/arrays.nditer.rst @@ -10,6 +10,10 @@ Iterating Over Arrays ********************* +.. note:: Arrays support the iterator protocol and can be iterated over like Python + lists. See the :ref:`quickstart.indexing-slicing-and-iterating` section in + the Quickstart guide for information and examples. + The iterator object :class:`nditer`, introduced in NumPy 1.6, provides many flexible ways to visit all the elements of one or more arrays in a systematic fashion. This page introduces some basic ways to use the |