DOC: more doc updates for structured arrays

[ci skip]

1 files changed, 4 insertions, 8 deletions

diff --git a/doc/source/reference/arrays.indexing.rst b/doc/source/reference/arrays.indexing.rst
index 5f67a788a..3a319ecca 100644
--- a/doc/source/reference/arrays.indexing.rst
+++ b/doc/source/reference/arrays.indexing.rst
@@ -514,14 +514,10 @@ only the part of the data in the specified field. Also
 :ref:`record array <arrays.classes.rec>` scalars can be "indexed" this way.
 
 Indexing into a structured array can also be done with a list of field names,
-*e.g.* ``x[['field-name1','field-name2']]``. Currently this returns a new
-array containing a copy of the values in the fields specified in the list.
-As of NumPy 1.7, returning a copy is being deprecated in favor of returning
-a view. A copy will continue to be returned for now, but a FutureWarning
-will be issued when writing to the copy. If you depend on the current
-behavior, then we suggest copying the returned array explicitly, i.e. use
-x[['field-name1','field-name2']].copy(). This will work with both past and
-future versions of NumPy.
+*e.g.* ``x[['field-name1','field-name2']]``. As of NumPy 1.16 this returns a
+view containing only those fields. In older versions of numpy it returned a
+copy. See the user guide section on :ref:`structured_arrays` for more
+information on multifield indexing.
 
 If the accessed field is a sub-array, the dimensions of the sub-array
 are appended to the shape of the result.