Benjamin Root-2 wrote:
I think that might have been a little unclear. You should only need to
select 'PyQt4' or 'PySide'. If PyQt4 is selected, then (I think) the v2
is
automatically tested for internally.
hmm, please explain where you think it is used internally, as the code seem
to
efiring wrote:
https://github.com/matplotlib/matplotlib/pull/539
I think this pull request fixes it.
Eric
Great, thanks for confirming and fixing!
Whilst waiting for this to make it into a release, I've hacked this to
achieve the same effect (so I don't have to patch + distribute the
On 10/18/2011 09:44 PM, RuiDC wrote:
Benjamin Root-2 wrote:
I think that might have been a little unclear. You should only need
to select 'PyQt4' or 'PySide'. If PyQt4 is selected, then (I think)
the v2 is automatically tested for internally.
hmm, please explain where you
Thanks for the comprehensive explanation.
So it would seem it's really only the
http://matplotlib.sourceforge.net/users/whats_new.html page that is
misleading on this.
Many thanks!
--
View this message in context:
On 10/18/11 8:55 PM, questions anon wrote:
Thanks Jeff, that certainly speeds it up! But when I take them out of
the loop and place them elsewhere they are no longer added to the map.
Is there someway I can call them in the loop but still get it to run
quickly?
Thanks
Just the Basemap
You are right that Agg is doing the resizing here. Agg expects
premultiplied alpha. See [1] for information about what that means.
[1] http://en.wikipedia.org/wiki/Alpha_compositing
After Agg interpolates the pixel values, to prevent oversaturation it
truncates all values to be less than
Ah, thanks so much Michael! That explanation helps a great deal; I
was always considering things in straight alpha format, not even
knowing that there was alternative.
I'll play with this tonight; I don't see any problem getting the thing
working, though, now that I know what agg expects to
On Fri, Oct 14, 2011 at 3:42 AM, Nils Wagner
nwag...@iam.uni-stuttgart.dewrote:
Hi all,
what is the native data coordinate system for Arrows in
a polar plot ?
How do I add arrows to a polar plot ?
An example would be appreciated.
fig = figure(figsize=(12,12))
ax = fig.add_subplot(111,
thank you, I am not quite sure how to 'draw' the shapefile but making those
changes and removing the shapefile has sped the processing up considerably!
Thank you for your help
On Wed, Oct 19, 2011 at 11:42 PM, Jeff Whitaker jsw...@fastmail.fm wrote:
On 10/18/11 8:55 PM, questions anon wrote:
On 10/19/11 4:37 PM, questions anon wrote:
thank you, I am not quite sure how to 'draw' the shapefile
from matplotlib.collections import LineCollection
ax = plt.gca() # get current axes instance
# 'DSE_REGIONS' instance variable created by readshapefile method call.
Hi,
I appreciate all the effort and, lastly, the large functionality
offered by matplotlib. But I found no way around formulating things a
bit provocative on
http://friedrichromstedt.github.com/matplotlib-grayscale/index.html.
The project is about matplotlib-grayscale, a matplotlib patch that
JJ,
The workaround works. Thanks.
-Sterling
On Oct 17, 2011, at 6:58PM, Jae-Joon Lee wrote:
Meanwhile, you may do
from matplotlib.legend import Legend
l = Legend(fig, h, l, loc='lower right')
fig.legends.append(l)
This should be equivalent to fig.legend(h,l,loc='lower right').
Or,
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