event to it?
>
There's an event_source() method that can be called to get the class that's
controlling when animation events get fired (usually a timer, but you can
provide custom ones). You should be able to call start() and stop() on it.
Ryan
--
Ryan May
Graduate Research Assist
> Does this seem correct?
>
> Thanks,
> Alan Isaac
>
> PS It would be nice if repeat accepted an integer number of repetitions.
>
That does sound correct to me. (I'll apologize for the broken English in
the docs).
Any chance you could file an issue, and maybe one on the r
elves should work
fine.
Is there something else I'm missing?
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
Learn Graph Databases - Download FREE O'Reilly Bo
> On Mar 13, 2014, at 17:55, Michiel de Hoon wrote:
>
> The problems with animations on Mac
> are not so much related to the backend,
> but to the animations code itself. Animations
> with the MacOSX backend cannot be fixed
> without redesigning the animations module.
Can you give me a better id
On Mon, Mar 17, 2014 at 4:11 PM, Christophe Bal wrote:
> Hello,
> does matplotlib can use a PySide backend ?
>
> I ask this question because PySide is installed with Anaconda.
>
The Qt4 backend can use either PySide or PyQt. It should use either if
they're installed.
on fleshing out that script with more
features (and more class-based) on a branch here:
https://github.com/metpy/MetPy/blob/skewt/metpy/plots/skewt.py
Ryan
--
Ryan Ma
08191&iu=/4140/ostg.clktrk
> ___
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
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Ryan May
Graduate Research Assistant
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University
om/questions/286675/how-to-install-ffmpeg-on-debian I
> also have Debian packages x264 and libx264-142 installed.
>
>
>
> --
> Site24x7 APM Insight: Get Deep Visibility into Application Perfor
n't have an answer for this
> yet. If you come up with one, please let me know.
Have you looked at the examples/widgets/span_selector.py demo?
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
(y, [y0]))
line.set_data([x,y])
This is rather inefficient however if you're adding lots of points or if
there are just a lot of point in x any in general. If you know how many
points you're going to end up with, you could create mostly empty
MaskedArrays and keep the extra points m
On Fri, Jul 3, 2009 at 12:05 PM, guillaume ranquet wrote:
> Ryan May wrote:
> >
> >
> > On Fri, Jul 3, 2009 at 8:32 AM, guillaume ranquet > <mailto:granq...@wyplay.com>> wrote:
> >
> > Hi list,
> >
> > I'm trying to get a dyna
lotlib import *
>
> x= arange(0,10.,0.1)
> y= x**1.5 - 0.25*x**2
>
> pyplot.figure(figsize=(9, 6), dpi=120)
> pyplot.plot(x, y)
Add this to the end of the script (after all the plotting):
pyplot.show()
Ryan
--
Ryan May
Graduate Research As
ython/ipythonrc:
pylab_import_all 0
That gives you exactly what you want. In my case, I also made a profile
that imports numpy as np and matplotlib.pyplot as plt, so that I can get the
equivalent of the ease pylab without the pollution.
Ryan
--
Ryan May
Graduate Research Assistant
School
On Wed, Jul 22, 2009 at 8:34 PM, John Hunter wrote:
> On Wed, Jul 22, 2009 at 8:04 PM, Ryan May wrote:
> > On Wed, Jul 22, 2009 at 6:09 PM, Christopher Barker <
> chris.bar...@noaa.gov>
> > wrote:
> >>
> >> Hi folks,
> >>
> >> Does anyo
On Mon, Jul 27, 2009 at 2:40 PM, Christopher Barker
wrote:
> Ryan May wrote:
>
>> > Put this in your ~/.ipython/ipythonrc:
>> >
>> > pylab_import_all 0
>>
>
>
erformance improvement to be had depending on how you
are adding the additional points to the array. Seeing a complete, minimal
of the code showing the performance problem would be needed, since it's the
details that matter in this case.
Ryan
--
Ryan May
Graduate Research Assistant
School of
e example. I tweaked it to change the alpha of the lines in the
legend so that you know when you've turned off a line (making it more
chaco-like).
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
---
n [7]: lines
>> Out[7]:
>>
> Here lines is a Line2D object.
>
> ax.plot always returns a list because it may plot more than one line. The
> choice of syntax for the caller of the function is just for convenience.
> One could just as easily do:
Yeah, it's a nice l
has a specgram()
function that performs the actual computation performed for the pyplot
plotting function of the same name.
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
Sent from Norman, Oklahoma, United States
---
ot to be rude, but is there any reason you didn't look for pyplot.hexbin
before sending the email? :)
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
Let Crystal Reports han
it for you. The best one liner here is:
arr.tofile('test.txt', sep='\n')
>cat arr.txt
('M', 21, 72.094)
('F', 35, 58.328)
('M', 33, 21.988)
That should get you going. If it's not enough, feel free to po
27;, '0;0;0;0;0;0', 2.5)],
> dtype=[('myheader1', '|S7'), ('myheader2_a', '|S11'),
> ('myheader2_b', '
> i would only like to refer to my headers using this notation:
>
> data['my;header1']
>
try a
n_posn': 1,
> 'decimal_point': ',', 'int_curr_symbol': 'EUR ', 'n_cs_precedes': 1,
> 'p_sign_posn': 1, 'mon_thousands_sep': ' ', 'negativ
. Quite frankly, it's more
amazing that it works on your Ubuntu macine. :) If you're wanting 3
separate windows, try:
plot([1,2,3,4,5])
figure()
plot([1,2,3,4,5])
figure()
plot([1,2,3,4,5])
show()
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
is a file to
> visualize left. Unfortunaltely
> only the first figure is shown as in the simple example.
> So, what's wrong?
Calling show() multiple times is not supported.
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
---
gt;> import matplotlib
> >>> matplotlib.__version__
> '0.98.5.2'
> >>>
I can't reproduce this with SVN head here. I don't see anything in your
script that should cause this. Can you upgrade to the latest release, 0.99?
Ryan
--
Ryan May
Graduate R
t; plt.title('imshow defaults with origin=lower')
>
> plt.show()
>
> Is there a method to force imshow to not resample the image
> It is not obvius to me from reading the help for imshow and pcolor.
>
pass in interpolation='nearest' as a keyword ar
rrect the subtle error.
>
Done. suptitle is the correct name, as it's kind of a "super" title that
appears at the top of a figure with multiple panels, not a subtitle.
Thanks for catching this.
Ryan
--
Ryan
r: cannot import name LUTSIZE
>
> How can I replace/solve this issue?
>
> Many thanks in advance.
>
from matplotlib.cm import LUTSIZE
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
efinitely try that first).
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
Come build with us! The BlackBerry® Developer Conference in SF, CA
is the only developer event you
tplotlib do
you have installed?
python -c 'import matplotlib;print matplotlib.__version__'
Try updating. That should fix it.
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
e current image handling in matplotlib itself was reworked
(at least according to SVN logs, r7494), so that now instead there's a
setter function:
plt.sci(ret)
I'd be happy fix these myself if you're too busy.
Ryan
--
Ryan May
Graduate Research Assistant
School of Mete
On Mon, Sep 28, 2009 at 4:54 PM, Jeff Whitaker wrote:
> Ryan May wrote:
>>
>> Jeff,
>>
>> Right now, for me, any Basemap example that uses colorbar() is broken
>> for me. I think there's a problem with how Basemap sets the current
>> 'image'
entionally? If so, what is now the recommended way to apply
> climits to a Basemap plot?
I think this is due to an issue I fixed yesterday. Matplotlib changed
how it handled tracking the current image (in trunk) and Basemap
hadn't been updated. A fresh pull of basemap (I checked in the
changes
2/A) relation. There's a huge difference
between the two when you're dealing with data with noise.
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
Come build with us!
ng. Memory issues usually depend on
the specifics of how you're doing something,
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
Come build with us! The BlackBerry(
at:
http://matplotlib.sourceforge.net/examples/pylab_examples/major_minor_demo1.html?highlight=codex%20minor
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
Come build with us! The Bla
lFormatter, which is the name of a
class. Try:
ax.xaxis.set_major_formatter(NullFormatter())
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
Come build with us! The BlackBerry(R)
reateVariable('lat','d',('lat',))
> nco.createVariable('lon','d',('lon',))
> lon = np.arange(lon0,lon0+(nx*dx),dx)
> lat = np.arange(lat0,lat0+(ny*dy),dy)
> nco.variables['lat'][:] = lat
> nco.variables
thon language, setattr(a,
'foo', 'bar') is the same code as a.foo = bar. When working with
NetCDF, the only time I've needed to use setarr (or getattr) is when
the name of the attribute I want isn't a valid python identifier (like
if an attribute has a - in it, e.g. '
nput" (don't know how to call
> it), but why did it work before?
Check your data file. What you posted to the list is copy/pasting as
8 spaces for me, but you are specifying delimiter='\t'. I'd try just
not specifying delimiter or passing in delimiter=None.
Ryan
--
Rya
in)``. In a probability density, the integral of
the histogram should be 1; you can verify that with a
trapezoidal integration of the probability density function::
pdf, bins, patches = ax.hist(...)
print np.sum(pdf * np.diff(bins))
So instead, pass normed=Fa
nsform=trans, clip_on=True)
# Now do one 15 right
trans2 = ax.transData + mtransforms.Affine2D().translate(15, 0)
plt.text(x0, y0, 'Testing2', horizontalalignment='left',
verticalalignment='center', transform=trans2, clip_on=True)
plt.show()
I hope this helps. Let me know if an
to look at from here? Have you tried
blowing away the Gentoo install of matplotlib completely and trying a
new one?
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
Sent from Norman, Oklahoma, United States
--
s (300,300)?
I believe it's in window coordinates (pixels), with 0,0 being the lower left.
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
Download Intel® Parallel Studio Eval
Try
ou specify the corners of
the image in data coordinates.
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
Download Intel® Parallel Studio Eval
Try the new software tools for yoursel
lib.pyplot.imshow(dd[0].transpose())
However, this will rotate the image (result will have N rows and M
columns), if you're expecting it to have M rows and N columns. In that
case, you need to "roll" the axis to the end, which will end up with a
3xMxN array:
>>>dd[0].
On Sun, Feb 28, 2010 at 12:24 PM, David Goldsmith
wrote:
> --- On Sat, 2/27/10, Ryan May wrote:
>
>> From: Ryan May
>> Subject: Re: [Matplotlib-users] imshow size limitations?
>> To: "David Goldsmith"
>> Cc: "matplotlib-users"
>> Date
;
>
> Would be grateful for a comment.
I'm seeing this here too:
In [1]: import string
In [2]: string.letters
Out[2]: 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'
In [3]: import matplotlib
In [4]: string.letters
Out[4]: 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz'
T
On Thu, Mar 11, 2010 at 3:14 PM, afancy wrote:
> Hi,
>
> Could anybody know if there is IRC for matplotlib? as I cannot find it.
> Thanks
#scipy is an appropriate for all things numpy, matplotlib, scipy, etc.
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
U
use dates for the limits:
import matplotlib.pyplot as plt
import numpy as np
from datetime import datetime, timedelta
s = datetime.now()
x = np.array([s, s + timedelta(hours=3)])
y = np.arange(1,3)
plt.plot(x,y)
plt.xlim(s - timedelta(minutes=30), s + timedelta(hours=4))
plt.show()
Ryan
--
Ryan May
Gra
t;, you can always look at the gallery:
http://matplotlib.sourceforge.net/gallery.html
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
Download Intel® Parallel Studio Eval
Try t
er, the gallery is the best place to look because we
should be keeping it up to date with changes in the code.
I attached the modified script since it won't show up in the gallery
right away. I'd take a look, because it drastically simplifies the
colormapping.
Ryan
--
Ryan May
Graduate Res
On Sun, Mar 21, 2010 at 1:36 PM, Eric Firing wrote:
> Ryan May wrote:
>> That's because it wasn't there. :) I've ported it to make better use
>> of matplotlib facilities that are now available and added it to SVN.
>> In general, however, the gallery is the bes
ke lines, collections can be added to existing axes
(and don't need one around to be created). This is actually what's
used under the hood. You *should* also be able to create an axes
object and then set its figure, but I've never personally done it.
What you really want to look at ar
is a great place to learn:
http://matplotlib.sourceforge.net/gallery.html
For your particular need, I'd look at:
http://matplotlib.sourceforge.net/examples/pylab_examples/legend_demo2.html
Ryan
--
Ryan May
Graduate Research Assistant
School of Met
notation for smaller numbers (the default is anything with
an abs() >= 1e7). This displays in a slightly different way, with the
base power off to the side of the axis:
form = plt.gca().yaxis.get_major_formatter()
# so anything with abs() >= 10000 will display in scientific notation
:,None]) #Note change from bug in previous ex.
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
ax.contourf(X, Y, Z)
ax.set_xlim(-5, 5)
ax.set_ylim(-5, 5)
plt.draw()
Is there something I'm missing? (Running SVN trunk here)
Ryan
--
Ryan May
ather, data aspect ratio).
(I'd love to hear any ideas the other devs have.)
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
add_colorbar_limits.diff
Description: Binary dat
x27;ro')
plt.xlim(0, maxX)
plt.ylim(maxY, 0)
ax = plt.gca() # Get current axes object
ax.xaxis.set_ticks_position('top')
plt.show()
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
On Tue, Mar 30, 2010 at 2:10 PM, Gökhan Sever wrote:
> On Tue, Mar 30, 2010 at 2:37 PM, Ryan May wrote:
>> You're looking for the set_ticks_position method on the xaxis (I've
>> also tweaked setting the limits):
>>
>> plt.plot(xcoords, ycoords, 'ro&
ipython (http://ipython.scipy.org/moin/) which makes
working with plots interactively a breeze.
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
Download Intel® Parallel Stu
djust(top=0.85)
Hope that helps,
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
Download Intel® Parallel Studio Eval
Try the new software tools for yourself. Speed compilin
ml
>>
>> Hope that helps,
>> -paul
>
>
> --
> Download Intel® Parallel Studio Eval
> Try the new software tools for yourself. Speed compiling, find bugs
> proactively, and fine-tune application
mbers instead (ie 1, 10, 100 etc)? I guess I could make custom ticks for
> every one, but the graph is not always the same and if it could do it
> automatically it would be much better.
Make a custom tick formatter:
form = plt.FormatStrFormatter('%d')
plt.gca().yaxis.set_major_for
a helper for
self.set_aspect('equal', adjustable='box', anchor='C')
self.set_autoscale_on(False)
You can get all of these properties individually:
ax = plt.gca()
ax.get_aspect()
ax.get_adjustable()
ax.get_anc
m', which actually makes things
worse. It's also quite noticable for larger font sizes with 'rm'.
Thoughts?
Ryan
On Wed, Feb 25, 2009 at 4:13 PM, Ryan May wrote:
> Hi,
>
> When I combine mathtext with the stixsans fonts while mathtext.default is
> set to 'regular&#
robably *are* lacking. I know I'm not
likely to get to this any time soon however, so patches are welcome.
:)
If you're interested, the docs live here:
http://matplotlib.svn.sourceforge.net/viewvc/matplotlib/trunk/matplotlib/doc/
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteoro
e axes, look here:
http://matplotlib.sourceforge.net/examples/pylab_examples/shared_axis_demo.html
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
Download Intel® Parallel Stu
On Mon, Apr 19, 2010 at 5:29 PM, Mathew Yeates wrote:
> Will this work for multiple figures?
>
Yes, with the caveat that the data ranges are synced, so if you're
doing something like set_aspect('equal', 'datalims'), all the plots
must have the same aspect rat
>
> fig = plt.figure()
> ax = fig.add_subplot(111)
> ax.contourf(stuff)
> fig.show()
Use plt.show() instead of fig.show()
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
---
t; ax.set_xlim(xmin=0, xmax=2 * math.pi)
> ax.set_ylim(ymin= -math.pi, ymax=math.pi)
I don't see the problem here, I get the ticks as specified. What
version of matplotlib are you using? What backend are you using?
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorol
ich is started with show). You might want to look at
http://code.google.com/p/spyderlib/ or Google around for some other
packages that integrate IPython into a GUI.
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
--
's docs
directly:
http://matplotlib.sourceforge.net/search.html
I was able to find that example with: codex ListedColormap
(codex tells it to search examples) but that's because I knew the name
of the class I was looking for.
Good luck and don't get discouraged.
ands: if we have new
users asking sensible questions and actually making a good effort, we
don't want to discourage them.
Now for those who want there hands held every step of the way I'm all
for snarking at.
Ryan
--
Ryan May
Graduate Research Assistant
School o
, the user can click on
various things and trigger actions. Have you looked at the examples
in: examples/event_handling?
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
Universi
>>> Matplotlib-users mailing list
>>> Matplotlib-users@lists.sourceforge.net
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>
>
>
>
> --
> Gökhan
>
>
ion controlled Latex document?
> OpenOffice also has a good review system where I can track my/others changes
> easily.
> On Tue, Apr 27, 2010 at 3:27 PM, Ryan May wrote:
>>
>> I know this started with non-Latex, but I've found that passing around
>> latex-generated
hat way (one day when I start using Latex :) )
>
>
> On Tue, Apr 27, 2010 at 4:32 PM, Ryan May wrote:
>>
>> My advisor just writes on a print out of the PDF. I'll make the
>> changes in the revision tracked latex document.
>>
>> Ryan
>>
>> On
.label.set_color(color)
pp.gca().axes.title.set_color(color)
You can also save the return value from pp.title:
t = pp.title('Wow!')
t.set_color(color)
Ryan
--
Ryan May
Graduate Research Assistant
Sch
t.pyc in
remove(self)
123 self._remove_method(self)
124 else:
--> 125 raise NotImplementedError('cannot remove artist')
126 # TODO: the fix for the collections relim problem is to move the
127 # limits calculation int
d
> like the opposite, markers on top of the errorbars. Can this be done? And
> more generally, how can I choose what goes on top of what?
You should be able to pass zorder= to the plotting functions
to control the order.
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteoro
ral/19097),
> but never committed. Instead, it is packaged as a mpl_tookit module.
Looks interesting, I'll have to take a look when I get a chance. Two
early questions:
1) How does this relate to the functionality present in your axes_grid toolkit?
2) Do you plan on checking this into
f my 3D data)
> ?
figure.subplots_adjust() can be used to control various margins within
the figure. When saving with savefig(), you can also specify
bbox_inches='tight' which tells it to figure out the actual bounding
box of you plot for saving, which eliminates a lot of whitespace.
Ry
thought through the solution completely, but my intuition
says that this might be helpful:
http://matplotlib.sourceforge.net/examples/pylab_examples/anchored_artists.html
http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.
think?
I'm +1, but I've been bitten by this and am not concerned personally
with the backwards incompatibility. I'm not sure how much code out
there is dependant o
have put together here is asthetic and very
useful, and it puts a nice public face on all the hard work you've done.
My hat off to you. Keep it up.
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
-
ys that the call is (min,max), but what it really means
is (lower,upper). This could probably be clearer in the docs.
HTH,
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
-
Check
andom.randn(30,30)
plt.pcolor(data)
fig = plt.gcf()
fig.subplots_adjust(top=0.85)
ax = fig.add_axes([0.12, 0.9, 0.8, 0.05])
plt.colorbar(cax=ax, orientation='horizontal')
Hope this helps,
Ryan
--
Ryan May
Graduate Rese
his case, I think
you want to use the ax keyword for colorbar, as in:
pylab.colorbar(ax=ax2)
The ax keyword argument specifies an the axes for which you want the
colorbar drawn. The cax keyword argument specifies the axes in which
you want the colorbar drawn. If you don't specifiy cax, s
bar(10+0.25, 10) shows perfectly, then an update (using interactive mode
> set to on)
> bar(10+0.25, 4)
Try adding a clf(), which clears the current figure, in between the
calls to bar. Another option is to use hold(False) signals that you
want a new plotting command to start from a cle
Yves Revaz wrote:
Ryan May wrote:
Yves Revaz wrote:
Hi all,
When I use:
colorbar(orientation='horizontal')
the color bar is drawn on the bottom of the corresponding graph.
Which option will draw the colorbar on the top of the graph ?
I think (correct me if I'm wro
anyone ever tried this (I'm pretty sure I know the answer)? Failing
that, can anyone give me an idea of how difficult it might be for me to
tweak quiver to do this?
Thanks,
Ryan
--
Ryan May
Graduate Research Assistant
School of Me
>
> Something I keep wanting to get to is an ellipse variant of quiver; that
> would be much closer to the present quiver than a windbarb version would.
>
> In any case, if you can come up with a good windbarb class, that would
> be great. I expect Jeff Whitaker would like t
ay labels for X and Y axes and a Title for the plot
If I understand you correctly, what I think you want are:
title()
xlabel()
ylabel()
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
0.91.2-1.fc8 from the yum
> repository. Backend is set to GTKAgg in my matplotlibrc file.
>
(On this list top-posting is frowned upon -- it makes the conversation
difficult to follow.)
Your analysis is correct, the call to show() activates the GUI mainloop
and does not ret
> why, or what am i doing wrong... i'm very grateful for any hints.
Try looking at the dynamic_image_*.py in the examples directory (or
examples/animation for version 0.98.x). I've personally used the
dynamic_image_gtkagg.py approach for (what I think is) a similar use
case to yo
it to wait for user interaction before continuing, there might be a
little bit more work, but I don't think it'd be much. You could
probably instead look at some of the Matplotlib UI widgets, like in the
buttons.py example.
Ryan
--
Ryan May
Graduate Research Assistant
School of Met
'm not sure I'm following you at the moment. Are you calling show()
once and closing the figure doesn't cause it to return? or are you
trying to call show() multiple times from a single script and subsequent
calls to show() fail to return?
Ryan
--
Ryan May
Graduate Research As
matplotlib and PyGtk (you are using
GtkAgg, right)? Also, what OS are you running?
Devs, what do you think?
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
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