Hi,
I create an Ubuntu VM, cloned numpy and it compiled correctly in it.
I tried in my normal development environment (instead of a virtualenv) with
my old clone that is updated of numpy and it failed. So this isn't
virtualenv.
I created a new clone of numpy and it compiled correctly with my nor
>From my previous mail:
>> this has the same performance as your code:
>> a = empty([3] list(A.shape)
For anyone that is interested. I ran a benchmark on the code after Julian
kindly provided me with a correction to the listing he posted.
>> a = empty([3] + list(A.shape))
>> a[0] = A>5; a[1] =
On 11.09.2013 12:33, antlarac wrote:
> Hi, I have a numpy array, and I want to create another variable equal to it,
> to back it up for later calculations, because the first array will change.
> But after the first array changes, the second automatically changes to the
> same value. An example of w
Hi, I have a numpy array, and I want to create another variable equal to it,
to back it up for later calculations, because the first array will change.
But after the first array changes, the second automatically changes to the
same value. An example of what happens:
import numpy as np
a=np.zeros((
