summaryrefslogtreecommitdiff
path: root/numpy/lib
diff options
context:
space:
mode:
authorMark Wiebe <mwiebe@enthought.com>2011-07-26 12:07:14 -0500
committerMark Wiebe <mwiebe@enthought.com>2011-07-26 12:09:24 -0500
commitaffea42d886e8233fdd6f3c5760708e3a9e9b1b8 (patch)
treed99aa6da31a7a7fcff39c39a334fc2023d2f79b4 /numpy/lib
parent694a3835a98e5f68dbbd416d3df81418fb16f28d (diff)
downloadnumpy-affea42d886e8233fdd6f3c5760708e3a9e9b1b8.tar.gz
STY: Remove trailing whitespace
Diffstat (limited to 'numpy/lib')
-rw-r--r--numpy/lib/npyio.py4
-rw-r--r--numpy/lib/tests/test_index_tricks.py2
2 files changed, 3 insertions, 3 deletions
diff --git a/numpy/lib/npyio.py b/numpy/lib/npyio.py
index 13f659d70..f7cde270d 100644
--- a/numpy/lib/npyio.py
+++ b/numpy/lib/npyio.py
@@ -627,7 +627,7 @@ def loadtxt(fname, dtype=float, comments='#', delimiter=None,
data-type, arrays are returned for each field. Default is False.
ndmin : int, optional
The returned array will have at least `ndmin` dimensions.
- Otherwise mono-dimensional axes will be squeezed.
+ Otherwise mono-dimensional axes will be squeezed.
Legal values: 0 (default), 1 or 2.
.. versionadded:: 1.6.0
@@ -803,7 +803,7 @@ def loadtxt(fname, dtype=float, comments='#', delimiter=None,
fh.close()
X = np.array(X, dtype)
- # Multicolumn data are returned with shape (1, N, M), i.e.
+ # Multicolumn data are returned with shape (1, N, M), i.e.
# (1, 1, M) for a single row - remove the singleton dimension there
if X.ndim == 3 and X.shape[:2] == (1, 1):
X.shape = (1, -1)
diff --git a/numpy/lib/tests/test_index_tricks.py b/numpy/lib/tests/test_index_tricks.py
index f0190937b..e4c0bde93 100644
--- a/numpy/lib/tests/test_index_tricks.py
+++ b/numpy/lib/tests/test_index_tricks.py
@@ -48,7 +48,7 @@ class TestRavelUnravelIndex(TestCase):
uncoords = coords[0]+5*coords[1]
assert_equal(np.ravel_multi_index(coords, shape, order='F'), uncoords)
assert_equal(coords, np.unravel_index(uncoords, shape, order='F'))
-
+
coords = np.array([[1,0,1,2,3,4],[1,6,1,3,2,0],[1,3,1,0,9,5]],
dtype=dtype)
shape = (5,8,10)