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authorCharles Harris <charlesr.harris@gmail.com>2013-08-18 11:16:06 -0600
committerCharles Harris <charlesr.harris@gmail.com>2013-08-18 11:20:45 -0600
commit8ddb0ce0acafe75d78df528b4d2540dfbf4b364d (patch)
tree156b23f48f14c7c1df699874007c521b5482d1a4 /numpy/doc/structured_arrays.py
parent13b0b272f764c14bc4ac34f5b19fd030d9c611a4 (diff)
downloadnumpy-8ddb0ce0acafe75d78df528b4d2540dfbf4b364d.tar.gz
STY: Giant whitespace cleanup.
Now is as good a time as any with open PR's at a low.
Diffstat (limited to 'numpy/doc/structured_arrays.py')
-rw-r--r--numpy/doc/structured_arrays.py3
1 files changed, 1 insertions, 2 deletions
diff --git a/numpy/doc/structured_arrays.py b/numpy/doc/structured_arrays.py
index 304184d0d..0444bdf90 100644
--- a/numpy/doc/structured_arrays.py
+++ b/numpy/doc/structured_arrays.py
@@ -194,7 +194,7 @@ Notice that `x` is created with a list of tuples. ::
The fields are returned in the order they are asked for.::
>>> x[['y','x']]
- array([(2.5, 1.5), (4.0, 3.0), (3.0, 1.0)],
+ array([(2.5, 1.5), (4.0, 3.0), (3.0, 1.0)],
dtype=[('y', '<f4'), ('x', '<f4')])
Filling structured arrays
@@ -221,4 +221,3 @@ You can find some more information on recarrays and structured arrays
"""
from __future__ import division, absolute_import, print_function
-