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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
<wil...@gm...> wrote:
> 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
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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 case blitting is no more working like if restore_region was not
restoring context.

 

def __init__(self):

        FigureCanvas.__init__(self, Figure())

 

        #self.ax = self.figure.add_subplot(111)

        self.ax = self.figure.add_axes([0.1,0.1,0.8,0.2])

     

Any idea why in this case the example given is not working?

 

Cheers,

Laurent

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 case blitting is no more working like if restore_region was not
restoring context...

 

def __init__(self):

        FigureCanvas.__init__(self, Figure())

 

        #self.ax = self.figure.add_subplot(111)

        self.ax = self.figure.add_axes([0.1,0.1,0.8,0.2])

     

Any idea why in this case the example given is not working?

 

Cheers,

Laurent

.

Laurent

 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-loop. How do I do that?

Say you use matplotlib.cm.Reds_r, then you call Reds_r(N) at
each iteration, where N is an integer that increases at each
iteration. Reds_r(N) returns a colour specification that then
you pass to the plotting function as a 'color' argument.

> The above code colors the nodes blue and the edges r.  I want to options:
> 
> 1 ---  For each iteration, I want the nodes to be colored in diminishing

> 2 ---  For each iteration, I want  a separate coloring of the nodes.

For separate colouring of the nodes, you need to draw each
node separatedly as far as I know.

-- 
Ernest

I'm not an axes3d expert and below is from my quick at the code, so
there may be better ways.

axes3d have w_[xyz]axis attributes, which are responsible for drawing
tick, ticklables, and you need to change these to change ticks, etc.
While, I think something like w_xaxis.set_ticks should work, currently
it fails, which I think is a bug. As a workaround, you have to
directly set the ticklocator. For example, "ax.xaxis.set_ticks([-20,
0, 20])" becomes

from matplotlib.ticker import FixedLocator
locator = FixedLocator([-20, 0, 20])
ax.w_xaxis.set_major_locator(locator)

-JJ



On Tue, Oct 6, 2009 at 7:07 AM, William Hall <wi...@qu...> wrote:
> Does anyone know if it possible to annotate the axes with strings?
>
> I've tried a hundred combinations of set_xticklabels with and without
> set_xticks but absolutely nothing seems to have any effect.
>
> Perhaps this is a bug? Perhaps labelling 3d axes is not supported? There's
> no documentation on this matter and I'm at my wits end - any help is
> appreciated.
>
>
>
>
> ------------------------------------------------------------------------------
> Come build with us! The BlackBerry&reg; Developer Conference in SF, CA
> is the only developer event you need to attend this year. Jumpstart your
> developing skills, take BlackBerry mobile applications to market and stay
> ahead of the curve. Join us from November 9&#45;12, 2009. Register now&#33;
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>

It seems that there is no support of hatching in Collection, although
I don't see any reason.
I think the easiest way for now is to create extra patch objects for hatching.
Try something like below.

-JJ

p = ax1.fill_between(x, 0, y1)
p.set_facecolors("none")

from matplotlib.patches import PathPatch
for path in p.get_paths():
    p1 = PathPatch(path, fc="none", hatch="/")
    ax1.add_patch(p1)
    p1.set_zorder(p.get_zorder()-0.1)




On Wed, Oct 7, 2009 at 7:08 AM, Matthew Czesarski
<mat...@gm...> wrote:
> Hi all,
> What would be really useful for me, is to be able to hatch the area filled
> using the fill_between() method, instead of using solid color. Does anybody
> know if this is possible?
> Thanks in advance,
> Matt
> ------------------------------------------------------------------------------
> Come build with us! The BlackBerry(R) Developer Conference in SF, CA
> is the only developer event you need to attend this year. Jumpstart your
> developing skills, take BlackBerry mobile applications to market and stay
> ahead of the curve. Join us from November 9 - 12, 2009. Register now!
> http://p.sf.net/sfu/devconference
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Hi Listers,

I recently installed matplotlib 0.99.1 hoping to use mplot3d.  However, when doing 'from mpl_toolkits.mplot3d import Axes3D' python itself crashes.  Reinstalling matplotlib 0.98.5 gets everything working fine, without mplot3d, of course.

I am running Windows XP, python 2.5.2 and numpy 1.2.1.  From the installation instructions I think I have all the prerequisites.

Has anyone seen behaviour like this?

Ross Wilson