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-rw-r--r--numpy/core/numeric.py18
1 files changed, 9 insertions, 9 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py
index 630f9ff66..e5ae12c0d 100644
--- a/numpy/core/numeric.py
+++ b/numpy/core/numeric.py
@@ -108,23 +108,23 @@ can_cast = multiarray.can_cast
lexsort = multiarray.lexsort
-def asarray(a, dtype=None, fortran=None):
+def asarray(a, dtype=None, order=None):
"""returns a as an array. Unlike array(),
no copy is performed if a is already an array. Subclasses are converted
to base class ndarray.
"""
- return array(a, dtype, copy=False, fortran=fortran)
+ return array(a, dtype, copy=False, order=order)
-def asanyarray(a, dtype=None, copy=False, fortran=None):
+def asanyarray(a, dtype=None, copy=False, order=None):
"""will pass subclasses through...
"""
- return array(a, dtype, copy=copy, fortran=fortran, subok=1)
+ return array(a, dtype, copy=copy, order=order, subok=1)
def ascontiguous(a, dtype=None, copy=False):
- return array(a, dtype, copy=copy, fortran=False, ndmin=1)
+ return array(a, dtype, copy=copy, order=False, ndmin=1)
def asfortran(a, dtype=None, copy=False):
- return array(a, dtype, copy=copy, fortran=True, ndmin=1)
+ return array(a, dtype, copy=copy, order=True, ndmin=1)
def isfortran(a):
return a.flags.fnc
@@ -362,14 +362,14 @@ def load(file):
# These are all essentially abbreviations
# These might wind up in a special abbreviations module
-def ones(shape, dtype=int_, fortran=False):
+def ones(shape, dtype=int_, order='C'):
"""ones(shape, dtype=int_) returns an array of the given
dimensions which is initialized to all ones.
"""
- a = empty(shape, dtype, fortran)
+ a = empty(shape, dtype, order)
a.fill(1)
# Above is faster now after addition of fast loops.
- #a = zeros(shape, dtype, fortran)
+ #a = zeros(shape, dtype, order)
#a+=1
return a