Not sure if this will help, but maybe you can do something like this?
---
#!/usr/bin/env python
from pylab import *
from scipy import *
img = standard_normal((40,40))
image = imshow(img,interpolation='nearest',animated=True,label="blah")
for k in range(1,10000):
img = standard_normal((40,40))
image.set_data(img)
show()
---
Note, interpolation='nearest' can be faster than interpolation=None if
your default interpolation is set to bicubic (which it probably is)
Does this speed things up?
Thomas
On May 1, 2009, at 3:31 PM, Joey Wilson wrote:
> I am creating a script that generates images and displays them to
> the screen in real time. I created the following simple script:
>
> __________________________
>
> #!/usr/bin/env python
>
> from pylab import *
> from scipy import *
>
> for k in range(1,10000):
> img = standard_normal((40,40))
> imshow(img,interpolation=None,animated=True,label="blah")
> clf()
> show()
>
> __________________________
>
> Now, this script plots the image too slowly. I am forced to use
> the clf() function so that it doesn't slow down at each iteration of
> the for loop. Is there a way that I can plot this simple image
> faster? What's the best way to get imshow() to plot quickly?
> Thanks for your help.
>
> -Joey
>
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