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
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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Thomas Robitaille wrote:
Not sure if this will help, but maybe you can do something like this?
---
#!/usr/bin/env python
from pylab import *
from scipy import *
To run this as a standalone script, without ipython -pylab, you need to include:
ion()
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()
show() should never be called more than once for a given figure; what you want here is draw().
Eric
···
---
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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Conference from O'Reilly Media. Velocity features a full day of
expert-led, hands-on workshops and two days of sessions from industry
leaders in dedicated Performance & Operations tracks. Use code vel09scf
and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf_______________________________________________
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Eric and Thomas,
Thanks for your help. I was able to get it plotting MUCH faster. Here’s my code:
#!/usr/bin/env python
from pylab import *
from scipy import *
ion()
img = standard_normal((50,100))
image = imshow(img,interpolation=‘nearest’,animated=True,label=“blah”)
for k in range(1,100):
img = standard_normal((100,100))
image.set_data(img)
draw()
Thanks again.
-Joey
···
On Sat, May 2, 2009 at 1:27 PM, Eric Firing <efiring@…202…> wrote:
Thomas Robitaille wrote:
Not sure if this will help, but maybe you can do something like this?
#!/usr/bin/env python
from pylab import *
from scipy import *
To run this as a standalone script, without ipython -pylab, you need to include:
ion()
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()
show() should never be called more than once for a given figure; what you want here is draw().
Eric
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
Register Now & Save for Velocity, the Web Performance & Operations
Conference from O’Reilly Media. Velocity features a full day of
expert-led, hands-on workshops and two days of sessions from industry
leaders in dedicated Performance & Operations tracks. Use code vel09scf
and Save an extra 15% before 5/3. http://p.sf.net/sfu/velocityconf_______________________________________________
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