Hello,
Continuing on my previous email, I'm using this example:
http://matplotlib.sourceforge.net/examples/animation/animation_blit_qt4.html
def __init__(self):
FigureCanvas.__init__(self, Figure())
self.ax = self.figure.add_subplot(111)
self.ax.set_position([0.1
John [H2O] wrote:
> Jeff,
>
> Here's a quick snippet. I've looked at the test.py file provided with the
> basemap examples. What I am unclear on are the different ways in which nx
> and ny are defined. I would like to have this 'automatically' defined, based
> solely on variables from my input obje
axes_grid is included in matplotlib (at least from version 0.99),
i.e., if you have installed 0.99, you already have axes_grid toolkit.
Also, in svn, source for axes_grid toolkits can be found under lib/mpl_toolkits.
Regards,
-JJ
On Thu, Oct 8, 2009 at 11:51 AM, william ratcliff
wrote:
> Hi,
Hi,
I think I'm missing something obvious. I'd like to install the axes_grid
toolkit to work on some inset graphs. I can't seem to find it on the trunk
of svn. Where is it living these days? Is there a version that would be
compatible with .99.0?
Thanks,
William
---
Hello,
I've just discovered blitting technique to improve performances.
I'm using this example
http://matplotlib.sourceforge.net/examples/animation/animation_blit_qt4.html
I encounter an issue if instead of using subplot I use add_axes method to
hand define where I want my plot.
In this c
.
Laurent
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1/10/09 @ 12:21 (-0500), thus spake Srivathsan Srinivas:
> Hi,
>I am trying to plot a graph and color nodes in a loop. So far, the
> for-loop I am using can color them. But, I am able to color them using a
> single color. I want to color the nodes differently for each iteration of
> the for-lo
