I'm plotting a bunch of lines on a map. They're being colored
according to the value of an attribute associated with the objects
they represent, using a colormap. However, I also need to create a
colorbar to act as a legend, describing what the colors of the lines
means, in terms of value
On 10/7/2008 6:23 PM Michael apparently wrote:
> loop through the data and call clf():
The clf call seems quite wrong:
it flashes horribly and I get good
behavior without it (once I add
a call to sleep). What am I
missing?
Alan Isaac
PS The following almost works (i.e., works,
but then exits wi
John Hunter wrote:
> Unfortunatelym the API for the
> latter has changed somewhat from 0.91 to 0.98, so I hesitate to tell
> advise you to do this with 0.91 since it will break when you upgrade.
>
Please let me know the instructions as if the version is 0.98. I'll
upgrade to it soon.
Thanks,
V
On Wed, Oct 8, 2008 at 6:46 PM, Angus McMorland <[EMAIL PROTECTED]> wrote:
> Hi all,
>
> This is just a head's-up for those using debian and who upgrade
> regularly. There's a problem with the latest debian package to hit
> testing: 0.98.1-1, which is currently unusable, throwing up the error:
>
>
On Wed, Oct 8, 2008 at 12:23 PM, Venkat Ramanan <[EMAIL PROTECTED]> wrote:
> for i in p.arange(1,nframes):
>A=2*p.sin(2*p.pi*(1/float(2*nframes))*i)
>sindata=A*p.sin(x)
>line.set_ydata(sindata) # update the data
>p.draw() # redraw the canvas
The autoscalin
Hi all,
I'm trying to do a plot which is dynamically updated.
However, the axis limits remain fixed even when the data goes out of the
current ylim. Is there an easy way to keep the axis limits updated when
the data gets updated?
I've trivially modified the anim.py example to show the problem.
Hi all,
This is just a head's-up for those using debian and who upgrade
regularly. There's a problem with the latest debian package to hit
testing: 0.98.1-1, which is currently unusable, throwing up the error:
ImportError: /usr/lib/python2.5/site-packages/matplotlib/nxutils.so:
undefined symbol:
On mercredi 08 octobre 2008, John [H2O] wrote:
> Is there an alternative set up in matplotlib 0.98? I've just finished the
> migration and porting my code so that basemap will work properly! Also, I
> would really prefer not to use too many packages as it becomes difficult to
> switch syntax consta
I was discouraged to read recently on Scipy's Cookbook / Matplotlib / mplot3D
entry:
"The examples below show simple 3D plots using matplotlib. matplotlib's 3D
capabilities were added by incorporating John Porter's mplot3d module, thus
no additional download is required any more, the following ex
