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authorhklemm <hanno.klemm@maerskoil.com>2013-07-28 23:07:23 +0200
committerhklemm <hanno.klemm@maerskoil.com>2013-07-28 23:07:23 +0200
commitc0a61b2e16b6909df5d406087ed0fd923d9edfbd (patch)
treee2f8572d1af51076b41ab72a21bb3b336bda35a2 /numpy/doc/structured_arrays.py
parent895866d337fedb2018a076002ebb9ea49fa397f3 (diff)
downloadnumpy-c0a61b2e16b6909df5d406087ed0fd923d9edfbd.tar.gz
Update structured_arrays.py
The behaviour documented did not match the actual behaviour of numpy. Explanation changed and the code example updated.
Diffstat (limited to 'numpy/doc/structured_arrays.py')
-rw-r--r--numpy/doc/structured_arrays.py7
1 files changed, 3 insertions, 4 deletions
diff --git a/numpy/doc/structured_arrays.py b/numpy/doc/structured_arrays.py
index be3d5cc7d..304184d0d 100644
--- a/numpy/doc/structured_arrays.py
+++ b/numpy/doc/structured_arrays.py
@@ -191,12 +191,11 @@ Notice that `x` is created with a list of tuples. ::
(1.0, [[2.0, 6.0], [2.0, 6.0]])],
dtype=[('x', '<f4'), ('value', '<f4', (2, 2))])
-Notice that the fields are always returned in the same order regardless of
-the sequence they are asked for. ::
+The fields are returned in the order they are asked for.::
>>> x[['y','x']]
- array([(1.5, 2.5), (3.0, 4.0), (1.0, 3.0)],
- dtype=[('x', '<f4'), ('y', '<f4')])
+ array([(2.5, 1.5), (4.0, 3.0), (3.0, 1.0)],
+ dtype=[('y', '<f4'), ('x', '<f4')])
Filling structured arrays
=========================