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March EPD Webinar: How do I...solve ODEs? Part II
This Friday, Warren Weckesser will present a second installment of his
webinars on differential equations. We will explore two Python packages for
solving boundary value problems. Both are packaged as scikits:
scikits.bvp_solver, written by John Salvatier, is a wrapper of the
BVP_SOLVER code by Shampine and Muir; scikits.bvp1lg, written by
Pauli Virtanen, is a wrapper of the COLNEW solver developed by Ascher and
Bader.
Enthought Python Distribution Webinar
How do I... solve ODEs? Part II
Friday, March 4: 1pm CST/7pm UTC
Wait list (for non EPD subscribers): send an email to am...@en...
Thanks!
_________________________
Amenity Applewhite
Enthought, Inc. <http://www.enthought.com>
Scientific Computing Solutions

Andrea Crotti, on 2011年03月01日 10:29, wrote:
> Gökhan Sever <gok...@gm...> writes:
> > You can try:
> >
> > fig, ax = plt.subplots(1,1)
> > ax.plot(range(10))
> > fig.subplots_adjust(left=0.05, right=0.95, bottom=0.05, top=0.95)
> >
> 
> Uhm strange, with the version of matplotlib that I have know I have
> subplots_adjust, but I don't have plt.subplots, was it added later?
> Well I can also leave my very convoluted way for now, I'll see later
> what to do...
plt.subplots was added somewhat recently - in this instance it's
equivalent to :
fig = plt.figure()
ax = plt.subplot(1,1,1)
 
Andrea Crotti, on 2011年03月01日 12:58, wrote:
> Paul Ivanov <piv...@gm...> writes:
> > You can do this with:
> >
> > ax = plt.subplot(111)
> > ax.plot(range(10))
> > ax.set_ymargin(.2)
> > ax.set_xmargin(.1)
> > # or ax.margins(.1,.2)
> > ax.autoscale()
> > plt.draw()
> >
> > see also the docstring for ax.autoscale_view for more.
> 
> Uhm also autoscale and set_xmargin are not implemented in my version of
> matplotlib, too bad I'll just keep my hack for now...
Ok, these were added within the past year as well. I think you
should have an older version of ax.autoscale_view which does
something similar - but it's effectively what you have done in
your original example (though I'm not sure why you want
cast everything as an int there, perhaps that's just what makes
sense for the data you have).
you can see the current code here, if you're curious:
https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/axes.py#L1774
best,
-- 
Paul Ivanov
314 address only used for lists, off-list direct email at:
http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7 

Hi,
I created an eps figure file with matplotlib. I can look at it via mac preview, but when I inserted it into a word document and printed it out, I got nothing except for the eps file information. So what's the problem? Here are all the packages I used in the python code. Does any of them impact the creation of the eps file? Thanks.
import numpy as np
import sys
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
from get_fbin import get_fbin
from matplotlib import mathtext
from matplotlib import rc
from matplotlib.font_manager import FontProperties
rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
rc('text', usetex=True)
and I saved the code in this way:
fig.savefig('pfg1.eps')

Some time ago I tried to install matplotlib using zc.buildout, to make
sure I always had the same version everywhere and so on.
Even if numpy was installed it was not found, and someone told me to
modify the setup.py of matplotlib.
But since I think it should work out of the box I think I'm doing
something wrong OR there is a bug.
It should be a known issue but I didn't find much about, if necessary I
can try again and paste the output...
Thanks,
Andrea

Paul Ivanov <piv...@gm...> writes:
>
> Hi Andrea,
>
> I think Gökhan is pointing out a different feature than the one
> you want. You seem to want to adjust the x and y limits of the
> plot to be some fraction larger than the data that's plotted. 
>
> You can do this with:
>
> ax = plt.subplot(111)
> ax.plot(range(10))
> ax.set_ymargin(.2)
> ax.set_xmargin(.1)
> # or ax.margins(.1,.2)
> ax.autoscale()
> plt.draw()
>
> see also the docstring for ax.autoscale_view for more.
>
> best,
Uhm also autoscale and set_xmargin are not implemented in my version of
matplotlib, too bad I'll just keep my hack for now...

Gökhan Sever <gok...@gm...> writes:
> Hi,
>
> You can try:
>
> fig, ax = plt.subplots(1,1)
> ax.plot(range(10))
> fig.subplots_adjust(left=0.05, right=0.95, bottom=0.05, top=0.95)
>
> If you choose WXAgg as your backend you get a nice config tool to adjust
> spacing in the figure. Then just pass those numbers into .subplots_adjust
> method once you are satisfied.
Uhm strange, with the version of matplotlib that I have know I have
subplots_adjust, but I don't have plt.subplots, was it added later?
Well I can also leave my very convoluted way for now, I'll see later
what to do...

Hello everyone,
I've got a contour plot on a pcolor plot: 
http://old.nabble.com/file/p31038837/m3921-csv-RMSfinalSlip-pleft.pdf
m3921-csv-RMSfinalSlip-pleft.pdf 
I would like to have the contours (the 2 black lines) go along the grid
without any diagonal lines. Is that possible? And if so, could somebody
please tell me, how?
Cheers, Sebastian
-- 
View this message in context: http://old.nabble.com/contour-plot-without-smoothing-tp31038837p31038837.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

On Fri, Feb 25, 2011 at 9:15 PM, Yuri D'Elia <wa...@us...> wrote:
> In the following:
>
> <<<<<<<<<<<
> import matplotlib as mpl
> import matplotlib.figure
> import matplotlib.backends.backend_agg
>
> fig = mpl.figure.Figure()
> cvs = mpl.backends.backend_agg.FigureCanvasAgg(fig)
> fig.set_size_inches((20,20))
> fig.suptitle("Horray!", fontsize=20)
> plot = fig.add_subplot(111)
> plot.set_title("Subtitle")
> plot.plot([1,2,3], [3,2,1])
> fig.savefig("out.png", bbox_inches='tight')
>>>>>>>>>>>>
>
> suptitle is stripped from the figure.
> Of course the title is present if you unset bbox_inches, but that's unexpected behavior for me.
>
> Is this a bug?
Unfortunately, bbox_inches option is never meant to be complete in
figuring out the exact size of the figure area.
However, you can use "bbox_extra_artists" keyword argument to specify
additional artists that should be considered when dertermining the
plot size.
mytitle = fig.suptitle("Horray!", fontsize=20)
...
fig.savefig("out.png", bbox_inches='tight', bbox_extra_artists=[mytitle])
Regards,
-JJ
>
> Thanks
>
>
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You may use "ngrids" keyword parameter.
i.e.,., nrows_ncols=(3,2), ngrids=5
Regards,
-JJ
On Tue, Mar 1, 2011 at 1:40 AM, Boyle, Jim <bo...@ll...> wrote:
> I am using AxesGrid (from mpl_toolkits.axes_grid1 import AxesGrid) to generate multi-panel plots.
> It does very well except I have a problem with a blank subplot.
> I have 5 plots to display and the geometry of nrows_ncols=(3,2) produces the plot that I want
> except there is a frame placed in the last position - for which I did not call a plot.
>
> I cannot figure out an elegant way to supress this frame. The kludge I use now is to just set the
> edgecolor of the last grid subplot to the background and so it is not visible.
>
> All the examples have an even number of subplot figures so the grid is filled and this situation does not occur.
>
> --Jim
>
>
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