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-rw-r--r--numpy/lib/shape_base.py32
1 files changed, 16 insertions, 16 deletions
diff --git a/numpy/lib/shape_base.py b/numpy/lib/shape_base.py
index cbcfa9e70..b6ace7dd8 100644
--- a/numpy/lib/shape_base.py
+++ b/numpy/lib/shape_base.py
@@ -17,7 +17,7 @@ def apply_along_axis(func1d,axis,arr,*args):
if axis < 0:
axis += nd
if (axis >= nd):
- raise ValueError("axis must be less than arr.ndim; axis=%d, rank=%d."
+ raise ValueError("axis must be less than arr.ndim; axis=%d, rank=%d."
% (axis,nd))
ind = [0]*(nd-1)
i = zeros(nd,'O')
@@ -150,11 +150,11 @@ def atleast_3d(*arys):
""" Force a sequence of arrays to each be at least 3D.
Description:
- Force an array each be at least 3D. If the array is 0D or 1D,
- the array is converted to a single 1xNx1 array of values where
- N is the orginal length of the array. If the array is 2D, the
+ Force an array each be at least 3D. If the array is 0D or 1D,
+ the array is converted to a single 1xNx1 array of values where
+ N is the orginal length of the array. If the array is 2D, the
array is converted to a single MxNx1 array of values where MxN
- is the orginal shape of the array. Otherwise, the array is
+ is the orginal shape of the array. Otherwise, the array is
unaltered.
Arguments:
arys -- arrays to be converted to 3 or more dimensional array.
@@ -170,7 +170,7 @@ def atleast_3d(*arys):
result = ary[newaxis,:,newaxis]
elif len(ary.shape) == 2:
result = ary[:,:,newaxis]
- else:
+ else:
result = ary
res.append(result)
if len(res) == 1:
@@ -185,10 +185,10 @@ def vstack(tup):
Description:
Take a sequence of arrays and stack them veritcally
to make a single array. All arrays in the sequence
- must have the same shape along all but the first axis.
+ must have the same shape along all but the first axis.
vstack will rebuild arrays divided by vsplit.
Arguments:
- tup -- sequence of arrays. All arrays must have the same
+ tup -- sequence of arrays. All arrays must have the same
shape.
Examples:
>>> import numpy
@@ -219,7 +219,7 @@ def hstack(tup):
must have the same shape along all but the second axis.
hstack will rebuild arrays divided by hsplit.
Arguments:
- tup -- sequence of arrays. All arrays must have the same
+ tup -- sequence of arrays. All arrays must have the same
shape.
Examples:
>>> import numpy
@@ -245,7 +245,7 @@ def column_stack(tup):
to make a single 2D array. All arrays in the sequence
must have the same length.
Arguments:
- tup -- sequence of 1D arrays. All arrays must have the same
+ tup -- sequence of 1D arrays. All arrays must have the same
length.
Examples:
>>> import numpy
@@ -265,12 +265,12 @@ def dstack(tup):
Description:
Take a sequence of arrays and stack them along the third axis.
- All arrays in the sequence must have the same shape along all
- but the third axis. This is a simple way to stack 2D arrays
+ All arrays in the sequence must have the same shape along all
+ but the third axis. This is a simple way to stack 2D arrays
(images) into a single 3D array for processing.
dstack will rebuild arrays divided by dsplit.
Arguments:
- tup -- sequence of arrays. All arrays must have the same
+ tup -- sequence of arrays. All arrays must have the same
shape.
Examples:
>>> import numpy
@@ -294,7 +294,7 @@ def _replace_zero_by_x_arrays(sub_arys):
if len(_nx.shape(sub_arys[i])) == 0:
sub_arys[i] = _nx.array([])
elif _nx.sometrue(_nx.equal(_nx.shape(sub_arys[i]),0)):
- sub_arys[i] = _nx.array([])
+ sub_arys[i] = _nx.array([])
return sub_arys
def array_split(ary,indices_or_sections,axis = 0):
@@ -368,9 +368,9 @@ def split(ary,indices_or_sections,axis=0):
Divide ary into a list of sub-arrays along the
specified axis. If indices_or_sections is an integer,
ary is divided into that many equally sized arrays.
- If it is impossible to make an equal split, an error is
+ If it is impossible to make an equal split, an error is
raised. This is the only way this function differs from
- the array_split() function. If indices_or_sections is a
+ the array_split() function. If indices_or_sections is a
list of sorted integers, its entries define the indexes
where ary is split.