diff options
Diffstat (limited to 'numpy/add_newdocs.py')
| -rw-r--r-- | numpy/add_newdocs.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py index 9486bbc7f..a534e852c 100644 --- a/numpy/add_newdocs.py +++ b/numpy/add_newdocs.py @@ -8,7 +8,7 @@ NOTE: Many of the methods of ndarray have corresponding functions. core/fromnumeric.py, core/defmatrix.py up-to-date. """ -from __future__ import division +from __future__ import division, absolute_import from numpy.lib import add_newdoc @@ -5403,7 +5403,7 @@ add_newdoc('numpy.core', 'ufunc', ('reduce', :: r = op.identity # op = ufunc - for i in xrange(len(A)): + for i in range(len(A)): r = op(r, A[i]) return r @@ -5484,7 +5484,7 @@ add_newdoc('numpy.core', 'ufunc', ('accumulate', r = np.empty(len(A)) t = op.identity # op = the ufunc being applied to A's elements - for i in xrange(len(A)): + for i in range(len(A)): t = op(t, A[i]) r[i] = t return r @@ -5664,8 +5664,8 @@ add_newdoc('numpy.core', 'ufunc', ('outer', For `A` and `B` one-dimensional, this is equivalent to:: r = empty(len(A),len(B)) - for i in xrange(len(A)): - for j in xrange(len(B)): + for i in range(len(A)): + for j in range(len(B)): r[i,j] = op(A[i], B[j]) # op = ufunc in question Parameters |