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authorAllan Haldane <allan.haldane@gmail.com>2015-01-16 23:53:41 -0500
committerAllan Haldane <allan.haldane@gmail.com>2015-01-22 17:36:43 -0500
commit1bd0b4e8f176cd80e81b5f50832db5f8ba1ee1e9 (patch)
treefce876400e049c7927cfe4b62ee4d1ca00a8ed7b /doc/source/reference/arrays.ndarray.rst
parentb69035e8ea28bd759b929822aaba544d3c5f8c30 (diff)
downloadnumpy-1bd0b4e8f176cd80e81b5f50832db5f8ba1ee1e9.tar.gz
DOC: improve record/structured array nomenclature & guide
This update adds a section better describing record arrays in the user guide (numpy/doc/structured_arrays.py). It also corrects nomenclature, such that "structured array" refers to ndarrays with structured dtype, "record array" refers to modified ndarrays as created by np.rec.array, and "recarray" refers to ndarrays viewed as np.recarray. See the note at the end of the structured array user guide.
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diff --git a/doc/source/reference/arrays.ndarray.rst b/doc/source/reference/arrays.ndarray.rst
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--- a/doc/source/reference/arrays.ndarray.rst
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@@ -82,7 +82,7 @@ Indexing arrays
Arrays can be indexed using an extended Python slicing syntax,
``array[selection]``. Similar syntax is also used for accessing
-fields in a :ref:`record array <arrays.dtypes>`.
+fields in a :ref:`structured array <arrays.dtypes.field>`.
.. seealso:: :ref:`Array Indexing <arrays.indexing>`.