On 10/13/06, Stefan van der Walt <[EMAIL PROTECTED]> wrote:
This seems to work now:
In [21]: a
Out[21]:
array([[ 1., 2.],
[ 3., 4.]])
In [22]: ascontiguousarray(a, dtype=int)
Out[22]:
array([[1, 2],
[3, 4]])
Chuck
Hi all,
I've noticed that 'astype' always forces a copy. Is this
behaviour intended? It seems to conflict with 'asarray', that
tries to avoid a copy.
For example, when wrapping code in ctypes, the following snippet
would have been useful:
def foo(x):
# ensure x is an array of the right type
x = N.ascontiguousarray(x).astype(N.intc)
but that will cause a copy, so you'll have to do
def foo(x):
try:
x = N.ascontiguousarray(x,N.intc)
except:
x = N.ascontiguousarray(x).astype(N.intc)
This seems to work now:
In [21]: a
Out[21]:
array([[ 1., 2.],
[ 3., 4.]])
In [22]: ascontiguousarray(a, dtype=int)
Out[22]:
array([[1, 2],
[3, 4]])
Chuck
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