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authorCharles Harris <charlesr.harris@gmail.com>2020-09-30 12:03:36 -0600
committerGitHub <noreply@github.com>2020-09-30 12:03:36 -0600
commited7d967ff37b649a3b5ce8adc51cdf4ec9dd39a3 (patch)
tree1ecf0a6428c5919175f5b61614f66eddf4735e6f
parent60945085cfd1abf4e04db461040bc675f1d325c7 (diff)
parent3599af53d7fbf3976020b8443424ed5ffb955693 (diff)
downloadnumpy-ed7d967ff37b649a3b5ce8adc51cdf4ec9dd39a3.tar.gz
Merge pull request #17400 from rossbar/doc/correct_rec_alias
DOC: rm incorrect alias from recarray user article.
-rw-r--r--doc/source/user/basics.rec.rst11
1 files changed, 7 insertions, 4 deletions
diff --git a/doc/source/user/basics.rec.rst b/doc/source/user/basics.rec.rst
index f579b0d85..bb4ed89e9 100644
--- a/doc/source/user/basics.rec.rst
+++ b/doc/source/user/basics.rec.rst
@@ -575,11 +575,14 @@ Record Arrays
=============
As an optional convenience numpy provides an ndarray subclass,
-:class:`numpy.recarray`, and associated helper functions in the
-:mod:`numpy.lib.recfunctions` submodule (aliased as ``numpy.rec``), that allows
-access to fields of structured arrays by attribute instead of only by index.
-Record arrays also use a special datatype, :class:`numpy.record`, that allows
+:class:`numpy.recarray` that allows access to fields of structured arrays by
+attribute instead of only by index.
+Record arrays use a special datatype, :class:`numpy.record`, that allows
field access by attribute on the structured scalars obtained from the array.
+The :mod:`numpy.rec` module provides functions for creating recarrays from
+various objects.
+Additional helper functions for creating and manipulating structured arrays
+can be found in :mod:`numpy.lib.recfunctions`.
The simplest way to create a record array is with ``numpy.rec.array``::