matplotlib-users Mailing List for matplotlib

Rich Fought wrote:
> The prism colormap repeats the same pattern over and over instead of 
> spreading itself over the plotted data range in a pcolor plot. Is this 
> expected behavior?
Yup. prism and flag are designed to repeat.
-- 
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless enigma
 that is made terrible by our own mad attempt to interpret it as though it had
 an underlying truth."
 -- Umberto Eco

The prism colormap repeats the same pattern over and over instead of 
spreading itself over the plotted data range in a pcolor plot. Is this 
expected behavior?
Simply add prism() to pcolor_demo.py to see what I am talking about.
Thanks,
Rich

Paul Smith wrote:
> I'm plotting two curves in one subplot with twinx to allow different y scales. 
> The script below is an example. 
> When zooming in using zoom-to-rect on Tk's navigation toolbar2 (TkAgg is my 
> backend) I think the x axis part of the zoom is happening twice. Rubberbanding 
> the example from x=20 to 80 results in a zoomed x range of about 32 to 68, 
> which is about what you'd expect for zooming with the same range twice. 
> 
> Is there a way of restricting this to only one zoom?
> 
> Paul
> ------------
> from pylab import *
> f=figure(1)
> ax1=f.add_subplot(111)
> ax1.plot(arange(100))
> ax2=twinx(ax1)
> ax2.plot(-arange(100),'g')
> draw()
> 
> ------------
> python 2.5
> winxp
> matplotlib 0.91.1
> 
Indeed, this appears to be a bug. I put this on the develop mailing list.
Manuel

I'm plotting two curves in one subplot with twinx to allow different y scales. 
The script below is an example. 
When zooming in using zoom-to-rect on Tk's navigation toolbar2 (TkAgg is my 
backend) I think the x axis part of the zoom is happening twice. Rubberbanding 
the example from x=20 to 80 results in a zoomed x range of about 32 to 68, 
which is about what you'd expect for zooming with the same range twice. 
Is there a way of restricting this to only one zoom?
Paul
------------
from pylab import *
f=figure(1)
ax1=f.add_subplot(111)
ax1.plot(arange(100))
ax2=twinx(ax1)
ax2.plot(-arange(100),'g')
draw()
------------
python 2.5
winxp
matplotlib 0.91.1