On Thu, Jul 22, 2010 at 5:09 PM, marco cammarata wrote:
> Hi,
>
> any idea why the simple code below is so slow ?
>
> import numpy as n
> from time import time as t
>
> dims = (640,480)
> m = n.random.random( dims )
>
> l=[]
>
> for i in range(200):
> l.append(m)
>
> t0=t()
> b=n.array(l)
>
On Thu, Jul 22, 2010 at 2:09 PM, marco cammarata wrote:
> To convert the list into an array takes about 5 sec ...
>
Not too familiar with typical speeds, but at a guess, perhaps because it
must convert 61.4 million (640*480*200) values? Just to *count* that high
with xrange takes 1.6 seconds for
Hi,
any idea why the simple code below is so slow ?
import numpy as n
from time import time as t
dims = (640,480)
m = n.random.random( dims )
l=[]
for i in range(200):
l.append(m)
t0=t()
b=n.array(l)
print t()-t0
To convert the list into an array takes about 5 sec ...
Thanks,
marco