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| author | Ross Barnowski <rossbar@berkeley.edu> | 2020-09-29 20:34:42 -0700 |
|---|---|---|
| committer | Ross Barnowski <rossbar@berkeley.edu> | 2020-09-29 20:34:42 -0700 |
| commit | 3599af53d7fbf3976020b8443424ed5ffb955693 (patch) | |
| tree | a4b5d8a8760be896f1f1da1eb615ed7a76b8ba06 /doc/source/user | |
| parent | ab81a55dba9294aac6926d2921b147c791488ae3 (diff) | |
| download | numpy-3599af53d7fbf3976020b8443424ed5ffb955693.tar.gz | |
Incorporate feedback from review.
Diffstat (limited to 'doc/source/user')
| -rw-r--r-- | doc/source/user/basics.rec.rst | 11 |
1 files changed, 7 insertions, 4 deletions
diff --git a/doc/source/user/basics.rec.rst b/doc/source/user/basics.rec.rst index 7380ef635..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, 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``:: |