summaryrefslogtreecommitdiff
path: root/numpy/lib
diff options
context:
space:
mode:
authorTravis Oliphant <oliphant@enthought.com>2006-08-29 17:56:21 +0000
committerTravis Oliphant <oliphant@enthought.com>2006-08-29 17:56:21 +0000
commit63326185c04be2795a7a33028d427e9c8c31c900 (patch)
tree62fb5b9f5f7b6e518346fa0893e408fa24755021 /numpy/lib
parent064c8eb43637e920f6019215b00ef1593d74b0c1 (diff)
downloadnumpy-63326185c04be2795a7a33028d427e9c8c31c900.tar.gz
Clean-up some un-needed default axes. Fix default axes of ma.sum and ma.product
Diffstat (limited to 'numpy/lib')
-rw-r--r--numpy/lib/arraysetops.py2
-rw-r--r--numpy/lib/function_base.py4
-rw-r--r--numpy/lib/shape_base.py4
-rw-r--r--numpy/lib/utils.py2
4 files changed, 6 insertions, 6 deletions
diff --git a/numpy/lib/arraysetops.py b/numpy/lib/arraysetops.py
index b98517f3d..7bd666029 100644
--- a/numpy/lib/arraysetops.py
+++ b/numpy/lib/arraysetops.py
@@ -179,7 +179,7 @@ def test_unique1d_speed( plot_results = False ):
dt1s.append( dt1 )
dt2s.append( dt2 )
- assert numpy.alltrue( b == c)
+ assert numpy.alltrue( b == c )
print nItems
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
index a202f67cb..a14a3dc9f 100644
--- a/numpy/lib/function_base.py
+++ b/numpy/lib/function_base.py
@@ -540,9 +540,9 @@ def extract(condition, arr):
"""Return the elements of ravel(arr) where ravel(condition) is True
(in 1D).
- Equivalent to compress(ravel(condition), ravel(arr),0).
+ Equivalent to compress(ravel(condition), ravel(arr)).
"""
- return _nx.take(ravel(arr), nonzero(ravel(condition))[0],axis=0)
+ return _nx.take(ravel(arr), nonzero(ravel(condition))[0])
def place(arr, mask, vals):
"""Similar to putmask arr[mask] = vals but the 1D array vals has the
diff --git a/numpy/lib/shape_base.py b/numpy/lib/shape_base.py
index 03db2570a..d44215446 100644
--- a/numpy/lib/shape_base.py
+++ b/numpy/lib/shape_base.py
@@ -32,7 +32,7 @@ def apply_along_axis(func1d,axis,arr,*args):
if isscalar(res):
outarr = zeros(outshape,asarray(res).dtype)
outarr[ind] = res
- Ntot = product(outshape,axis=0)
+ Ntot = product(outshape)
k = 1
while k < Ntot:
# increment the index
@@ -48,7 +48,7 @@ def apply_along_axis(func1d,axis,arr,*args):
k += 1
return outarr
else:
- Ntot = product(outshape,axis=0)
+ Ntot = product(outshape)
holdshape = outshape
outshape = list(arr.shape)
outshape[axis] = len(res)
diff --git a/numpy/lib/utils.py b/numpy/lib/utils.py
index deca8fa06..db7c00db6 100644
--- a/numpy/lib/utils.py
+++ b/numpy/lib/utils.py
@@ -126,7 +126,7 @@ def who(vardict=None):
namestr = name
original=1
shapestr = " x ".join(map(str, var.shape))
- bytestr = str(var.itemsize*product(var.shape,axis=0))
+ bytestr = str(var.itemsize*product(var.shape))
sta.append([namestr, shapestr, bytestr, var.dtype.name,
original])