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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 /numpy/doc/creation.py
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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@@ -17,7 +17,7 @@ There are 5 general mechanisms for creating arrays:
This section will not cover means of replicating, joining, or otherwise
expanding or mutating existing arrays. Nor will it cover creating object
-arrays or record arrays. Both of those are covered in their own sections.
+arrays or structured arrays. Both of those are covered in their own sections.
Converting Python array_like Objects to Numpy Arrays
====================================================