On 03/08/2011 09:53 AM, Mark Bakker wrote:
> Works great Eric.
> Is this in the documentation somewhere?
Probably only in the change notes and in the docstrings.
http://matplotlib.sourceforge.net/_static/CHANGELOG
Eric
> Thanks,
> Mark
>
>
> From: Eric Firing mailto:efir...@hawaii.edu>>
>
Hi!
I would greatly appreciate if you could give me some advice.
I would like to make a Cartesian axes with a polar grid shown, just as here
in this example:
http://matplotlib.sourceforge.net/examples/axes_grid/demo_curvelinear_grid.html
I have studied this example, I don't even need ParasiteAxes
2011/3/8 Paul Anton Letnes :
> Hi!
>
> This simple loop:
import time
import pylab
for i in range(100):
> ... time.sleep(0.1)
> ... pylab.figure()
> ...
> will have python use more and more memory. While this is not technically a
> memory leak, it becomes one in practice, if
Hi!
This simple loop:
>>> import time
>>> import pylab
>>> for i in range(100):
... time.sleep(0.1)
... pylab.figure()
...
will have python use more and more memory. While this is not technically a
memory leak, it becomes one in practice, if I want to create a large number of
figure
Works great Eric.
Is this in the documentation somewhere?
Thanks,
Mark
From: Eric Firing
> On 03/07/2011 11:51 AM, Mark Bakker wrote:
> > My values on the vertical axis are large, but the range is small:
> > plot([3004,3005,3006])
> > By default this plots 0,1,2 as tickmarks along the vertical a
Pål Gunnar Ellingsen writes:
> I know there was a post on the mail liste a couple of days ago ( Bug
> in `dviread.py'), but I'm not sure if this is the same error, which it
> shouldn't be as I'm using the latest svn revision.
Not the same error - it is showing a warning message generated by the
On Tue, Mar 8, 2011 at 12:05 PM, Pål Gunnar Ellingsen wrote:
> Hi
>
> I'm trying to make a plot as a pdf file (or any vector format) with LaTeX
> fonts. I can make it output the file using show, but not with savefig (unless
> it is raster graphics).
>
>
> My setup is Fedora 13 64 bit with the la
Hello,
I am trying to plot elevation data, and I am looking for recommendation on
visualization of the data?
My main concern is that the data I am extracting my elevation data from is
coarse and there the line graphs I am producing look jagged. Is there a way to
smooth the data also?
Thank
Hi
I'm trying to make a plot as a pdf file (or any vector format) with
LaTeX fonts. I can make it output the file using show, but not with
savefig (unless it is raster graphics).
My setup is Fedora 13 64 bit with the latest TexLive:
texlive-2011-0.1.20110227.fc13.x86_64
and matplotlib from svn, re
On Tue, Mar 8, 2011 at 4:51 AM, Andrea Crotti wrote:
> Goyo writes:
>
> >
> > As Ben explained you need to draw first. So the usual path is:
> > 1. Draw
> > 2. Figure out the size of potentially problematic things (labels,
> > titles...) and the space you need.
> > 3. Adjust subplots or whatever
Is there an easy way to draw a piece of text (or whatever) to an
off-screen or off-canvas buffer, figure out the size from that, and then
use that to draw to the plot?
M
On 3/8/11 5:51 AM, Andrea Crotti wrote:
> Goyo writes:
>
>>
>> As Ben explained you need to draw first. So the usual path is
With current master at git repo, I cannot reproduce this.
Both test_1.eps and test_2.eps are ~4M in size.
Can you check if the file size varies significantly with rc parameters
ps.usedistiller?
I'm not sure how text setting can affect the images.
Regards,
-JJ
On Tue, Mar 1, 2011 at 7:23 AM, T
The easiest would be using a masked array.
arr = np.arange(100).reshape((10,10))
iny, inx = np.indices(arr.shape)
mymask=inx+iny>=10
imshow(np.ma.array(arr, mask=mymask), cmap="gray")
imshow(np.ma.array(arr, mask=~mymask), cmap="jet")
However, I recommend you to use the clippath.
http://matplot
This is a bug and I just pushed a fix to the git repo.
Meanwhile, a workaround is
l1, = ax2.plot(range(150),[10.]*150,color='g')
l1._transformed_path = None
l1._subslice = False
Regards,
-JJ
On Tue, Mar 8, 2011 at 6:48 AM, Hatch, Sara J (343D)
wrote:
> Matlplotlib folks,
>
>
>
> I copied th
Goyo writes:
>
> As Ben explained you need to draw first. So the usual path is:
> 1. Draw
> 2. Figure out the size of potentially problematic things (labels,
> titles...) and the space you need.
> 3. Adjust subplots or whatever needs adjustment to fit.
> 4. Draw again.
>
> Sort of weird but it wo
On Mon, 7 Mar 2011 13:41:49 -0600
Benjamin Root wrote:
> > I've
> > been using matplotlib a lot the last few months and was totally
> > unaware that pyplot was "required". Good thing I read this message! :-)
I'm glad I'm not the only one :)
> > > The interface should create the figure objects
imshow fills an entire "unit" in the grid. I'd like to overlay two
imshow's on top of each other, but in a non-destructive manner. One
way of doing this would be to modify the behavior of imshow so that it
only fills a portion of each "unit" in the grid. For example, in the
first imshow, I'd fil
On Tue, 8 Mar 2011 02:35:52 +0900
Jae-Joon Lee wrote:
> On Mon, Mar 7, 2011 at 8:22 PM, Yuri D'Elia wrote:
> > With matplotlib, I have to do the following:
> >
> > legend(bbox_to_anchor=(1, 1 + ?), loc=2)
> >
> > but how do I calculate the vertical location?
>
> Maybe you want to try something
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