matplotlib-users Mailing List for matplotlib (Page 8)

After searching for the path in all files in the distro,
I found the problem:
   font caching of Matplotlib
After removing C:\Documents and Settings\Administrator\.matplotlib
everything works ok.

So the remaining question is,
is there an elegant way, either in py2exe or in matplotlib,
to get arounf this caching problem ?

thanks,
Stef Mientki


On 14-02-2011 21:41, Stef Mientki wrote:
> Ran into the same problem,
> are there any hints to track down the problem.
>
> I tried to remove the MatPlotLib from py2exe and added MatPlatlib manual afterwards,
> but still it point to the wrong directory.
>
> thanks,
> Stef Mientki
>
>
> On 26-12-2010 15:18, zb wrote:
>> Hi.
>>
>> First of all, I would like to thank the developers of this wonderful package.
>>
>> I started doing an app and I finally tried to compile it with py2exe. I run into some issues that I posted in the py2exe group here;
>>
>> http://sourceforge.net/mailarchive/forum.php?thread_name=ienv6p%24b42%241%40dough.gmane.org&forum_name=py2exe-users
>>
>> To make it work, I ended it up having to use an older version of matplotlib and numpy. I don't know if the developers of matplotlib are aware of these issues and I am posting here just in case they don't know.
>>
>> When I was trying to use version 1.0, I run into problems with the mpl data directory. The output of py2exe could only find the mpl-data dir at the root /dist of a drive. Then I decided to try a much earlier version of matplotlib, and I run into different set of problems. Finally, I tried matplotlib 0.99.1 and the problems went away (I didn't try version 0.99.3 because its release date was too close to the version 1.0).
>>
>> I am just trying to make the developers aware of the problems and I hope to use newer versions in the future.
>>
>> Thanks for your attention
>>

On 2/14/2011 12:41 PM, Stef Mientki wrote:
> Ran into the same problem,
> are there any hints to track down the problem.
>
> I tried to remove the MatPlotLib from py2exe and added MatPlatlib manual afterwards,
> but still it point to the wrong directory.
>
> thanks,
> Stef Mientki
>
>
> On 26-12-2010 15:18, zb wrote:
>> Hi.
>>
>> First of all, I would like to thank the developers of this wonderful package.
>>
>> I started doing an app and I finally tried to compile it with py2exe. I run into some issues that I posted in the py2exe group here;
>>
>> http://sourceforge.net/mailarchive/forum.php?thread_name=ienv6p%24b42%241%40dough.gmane.org&forum_name=py2exe-users
>>
>> To make it work, I ended it up having to use an older version of matplotlib and numpy. I don't know if the developers of matplotlib are aware of these issues and I am posting here just in case they don't know.
>>
>> When I was trying to use version 1.0, I run into problems with the mpl data directory. The output of py2exe could only find the mpl-data dir at the root /dist of a drive. Then I decided to try a much earlier version of matplotlib, and I run into different set of problems. Finally, I tried matplotlib 0.99.1 and the problems went away (I didn't try version 0.99.3 because its release date was too close to the version 1.0).
>>
>> I am just trying to make the developers aware of the problems and I hope to use newer versions in the future.
>>
>> Thanks for your attention
>>
>


I can not reproduce this problem with matplotlib 1.0.1, PyQt 4.8.3, 
py2exe-0.6.10dev, Python 2.7.1. The only thing I noticed is that some 
toolbar icons are not displayed.

Christoph

Ran into the same problem,
are there any hints to track down the problem.

I tried to remove the MatPlotLib from py2exe and added MatPlatlib manual afterwards,
but still it point to the wrong directory.

thanks,
Stef Mientki


On 26-12-2010 15:18, zb wrote:
> Hi.
>
> First of all, I would like to thank the developers of this wonderful package.
>
> I started doing an app and I finally tried to compile it with py2exe. I run into some issues that I posted in the py2exe group here;
>
> http://sourceforge.net/mailarchive/forum.php?thread_name=ienv6p%24b42%241%40dough.gmane.org&forum_name=py2exe-users
>
> To make it work, I ended it up having to use an older version of matplotlib and numpy. I don't know if the developers of matplotlib are aware of these issues and I am posting here just in case they don't know.
>
> When I was trying to use version 1.0, I run into problems with the mpl data directory. The output of py2exe could only find the mpl-data dir at the root /dist of a drive. Then I decided to try a much earlier version of matplotlib, and I run into different set of problems. Finally, I tried matplotlib 0.99.1 and the problems went away (I didn't try version 0.99.3 because its release date was too close to the version 1.0).
>
> I am just trying to make the developers aware of the problems and I hope to use newer versions in the future.
>
> Thanks for your attention
>

Have you looked into Celery? It is a queuing system with Django ORM
support.  I don't have any experience with it myself, but I have heard
good things about it.

-Aman

2011/2/14 wukan <wek...@gm...>:
> Hi ,When I use matplotlib to draw 2D graphics in django web site，I encounter
> a problem.
> when server users  use matplotlib to draw graphics simultaneously  will
> cause website collapse.
> when one user use matplotlib to draw graphics will have no problem.
>
> i suppose matplotlib doesnot support multithreading drawing.
> so i put the draw function in a thread . it can't work as before.
>
> so why matplotlib doesnot support multithreading drawing?
> How to solve this problem.
> Hope I can receive help from you.
>
> Regards
>
> wekay
> ------------------------------------------------------------------------------
> The ultimate all-in-one performance toolkit: Intel(R) Parallel Studio XE:
> Pinpoint memory and threading errors before they happen.
> Find and fix more than 250 security defects in the development cycle.
> Locate bottlenecks in serial and parallel code that limit performance.
> http://p.sf.net/sfu/intel-dev2devfeb
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Hi ,When I use matplotlib to draw 2D graphics in django web site，I encounter
a problem.
when server users  use matplotlib to draw graphics simultaneously  will
cause website collapse.
when one user use matplotlib to draw graphics will have no problem.

i suppose matplotlib doesnot support multithreading drawing.
so i put the draw function in a thread . it can't work as before.

so why matplotlib doesnot support multithreading drawing?
How to solve this problem.
Hope I can receive help from you.

Regards

wekay

On Mon, Feb 14, 2011 at 8:40 AM, Nils Wagner
<nw...@ia...> wrote:
> Hi all,
>
> Is it possible to apply griddata to polar coordinates or
> do I need cartesian coordinates ?
>
> http://matplotlib.sourceforge.net/api/mlab_api.html#matplotlib.mlab.griddata

You can keep the data in polar coordinates, you just need to pass in
the locations of the points in cartesian coordinates:

x = r * cos(theta)
y = r * sin(theta)

Ryan

-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

Dear Matplotlib folks,

Those of you whose duties include teaching basic stats
might be interested in these interactive tutorial files,
designed to illustrate basic concepts.
Running the code opens up an interactive figure window,
using Matplotlib for the GUI and the plots.
When you click on a figure to add new points,
the statistical tests shown in the figure change accordingly.

http://www.dartmouth.edu/~raj/intro-stats.html

The code has lots of comments in it, which attempt to explain the
concepts as explicitly as possible. No prior knowledge of Python or
statistics is assumed. These programs require the SciPy module,
in addition to Matplotlib.

The tutorials are:
- interactive_mean_std_normal_distribution.py
- interactive_one_sample_t_test.py
- interactive_two_sample_t_test.py
- interactive_correlation_plot.py

The same webpage also contains Matlab versions of the scripts.
Please feel more than free to use any of the code for teaching,
if you find it useful.

Yours,

Rajeev Raizada
Research Assistant Professor
Neukom Institute for Computational Science
Dartmouth College
HB 6255
Hanover NH 03755
Tel: 603 646 0175
E.mail: raj...@da...
WWW: http://www.dartmouth.edu/~raj

Hi all,

Is it possible to apply griddata to polar coordinates or 
do I need cartesian coordinates ?

http://matplotlib.sourceforge.net/api/mlab_api.html#matplotlib.mlab.griddata

Nils

Feel free to 'save and run', pass along, or ignore.
This was my valentine's day present today.
I hope the bandwidth amuses more than it annoys...

Jules

#----------------------------------
# hohumheart.py

import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon

# force square figure and square axes looks better for polar, IMO
width, height = mpl.rcParams['figure.figsize']
size = min(width, height)
# make a square figure
fig = plt.figure(figsize=(size, size))
ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True, axisbg='#ffffff')

ax.set_rmax(2.0)
ax.set_xticks([])
ax.set_yticks([])
plt.grid(False)

theta = np.linspace(0,1,100)*np.pi*2
r = 1*(1-np.cos(theta))

ncards = 5
step = 2*np.pi/ncards
for ii in range(ncards):
	tr = np.column_stack((theta+ii*step, r))
	cpatch = Polygon(tr)
	cpatch.set_facecolor('r')
	cpatch.set_edgecolor('k')
	cpatch.set_alpha(0.5)
	ax.add_patch(cpatch)

ax.set_title("I $\heartsuit$ you", fontsize=20)
plt.show()

#-----------------------

Hi,
I have some problems to plot a 3d plot_surface (and contour plot) in log scale (y and z or x,y and z).
There is nothink in the help sections of thus plot to plot them in log scale (neither in thus plot code commentary).
I tried to find a solution by myself (many try as "log=True", "xscale='log'", "scale='log'", or "set_xscale('log')"...) but it doesn't work.
I tried to use "LogFormatter" (ticker) but i failed (maybe I am doing something wrong (I am a newbe) but i tried many things).
I try to found a solution on forums and this mailing list and what i found nearest of my problem is this topic:
http://stackoverflow.com/questions/3909794/plotting-mplot3d-axes3d-xyz-surface-plot-with-log-scale‏
They said this problem had no solution. Is it true? have somebody solved this problem?

An other solution is to plot log(Data) and change ticks with "set_ticks" (for exemple) but it seems to only work with 2D plot. I tried too :(

To be unterstanding easier, this is an exemple of the code to plot in log scale:
    import matplotlib.pyplot as plt#   (i am under '1.0.0')
    import numpy as np

    #Data
    x = np.logspace(0, 4, 10)
    y = np.logspace(0, 4, 10)
    Z = np.arange(100).reshape((10,10))

    #Min and Max for x,y and Z
    minx=np.min(x)
    maxx=np.max(x)
    miny=np.min(y)
    maxy=np.max(y)
    minz=np.min(Z)
    maxz=np.max(Z)

    #figure
    fig = plt.figure()
    ax = fig.gca(projection='3d')


    ax.plot_surface(X, Y, Z, rstride=8, cstride=8, alpha=0.3)
    cset = ax.contour(X, Y, Z, zdir='z', offset=minz)
    cset = ax.contour(X, Y, Z, zdir='x', offset=minx)
    cset = ax.contour(X, Y, Z, zdir='y', offset=miny)

    ax.set_xlabel("X")
    ax.set_xlim3d(minx,maxx)
    ax.set_ylabel("Y")
    ax.set_ylim3d(miny,maxy)
    ax.set_zlabel("Z")
    ax.set_zlim3d(minz,maxz)
    fig.savefig("plot00.png")



Has someone got a solution?
Thanks!
Regards,
Gaël

 		 	   		  

That solution might be fine for static plots, but I my case I prefer my
solution.

My plot is quite interactive so using your solution causes many problems
with my code.


-- 
View this message in context: http://old.nabble.com/onpick-on-a-2-y-plot-%28-via-twinx%28%29-%29-seems-to-only-allow-picking-of-second-axes%27s-artists-tp25049128p30919747.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Hi,

I've written a script to roughly emulate the elegant streamline plots found in 
Mathematica. The code is available at 
http://www.atm.damtp.cam.ac.uk/people/tjf37/streamplot.py and example plots at 
http://www.atm.damtp.cam.ac.uk/people/tjf37/streamlines1.png and 
streamlines2.png. It's a pretty hacky script, but fast and fairly robust. If 
anyone finds this script useful and has comments/suggestions, I'm happy to do a 
bit more work.

It would also be helpful if anyone has suggestions on a particular issue I had. 
Currently, to plot variable-width lines (i.e. streamlines2.png) I use a plot 
command for each line segment which is very slow and nasty. Is there a better 
way I'm missing?

Tom

Hi,

I am writting an application in which I update dynamically the state  
of the figures. When I am done I call the Figure.canvas.draw function  
to redraw the figure. However, when the window was previously closed  
by the user the update can be skipped.

Is there a way to tell from a figure handle if the figure is shown on  
screen or not?

Currently, I solve this problem with a callback which sets the figure  
handle to None on figure close event. However, I guess there might be  
a more direct way of doing that. What would you suggest?

Thanks a lot for your help.

Bartosz

I don't know of a colormap like that, but you can build one pretty
easily by just finding the hex codes for the colors you want, and then
doing this:


mycm = matplotlib.colors.LinearSegmentedColormap.from_list("my_new_colormap",["#58c5cc","#5cc0a4","#34842f","#b3de1d"])
matplotlib.cm.register_cmap("my_new_colormap",cmap=mycm)


On Sat, Feb 12, 2011 at 10:02 AM, Alan G Isaac <ai...@am...> wrote:
> Can anyone share a colormap that goes from bright yellow to
> dark blue via green, along the lines of the middle 2/3 of
> gist_rainbow?
> http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps
>
> Thanks,
> Alan Isaac
>
> ------------------------------------------------------------------------------
> The ultimate all-in-one performance toolkit: Intel(R) Parallel Studio XE:
> Pinpoint memory and threading errors before they happen.
> Find and fix more than 250 security defects in the development cycle.
> Locate bottlenecks in serial and parallel code that limit performance.
> http://p.sf.net/sfu/intel-dev2devfeb
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>



-- 
Daniel Hyams
dh...@gm...

Ben,

Thanks for the suggestions. I've updated the code accordingly. I tend to 
use **kwargs because it enforces passing arguments in by keyword, but 
your point on IDE friendliness is well taken. Someday, we'll move to 
Python 3 with its support for keyword-only arguments...

I've also added a license block releasing the code under the MIT 
license. If there's a reason it should be released under a different 
license as well, let me know.

Ray

On 2/12/2011 1:01 PM, Benjamin Root wrote:
>
>
> On Fri, Feb 11, 2011 at 3:06 PM, Ray Speth <sp...@mi...
> <mailto:sp...@mi...>> wrote:
>
>     Hi,
>
>     I wrote a script to generate streamline plots using matplotlib a while
>     ago, and this post inspired me to finally clean it up a bit. The code is
>     available at http://web.mit.edu/speth/Public/streamlines.py and you can
>     see an example of its output at
>     http://web.mit.edu/speth/Public/streamlines.png
>
>     I'd be happy to have it find a home in matplotlib if it would be useful
>     to other people there.
>
>     Ray
>
>
> Ray,
>
> That is absolutely beautiful work there.
>
> At the very least, I would like to see this added to the gallery or the
> cookbook.  The code is very nicely commented and documented.  Just a few
> points that come to mind.
>
> First, consider the possibility of using asanyarray() instead of
> asarray().  The big usecase for asanyarray is the use of masked arrays.
>
> Second, I am personally against call signatures that are just "**kwargs"
> and then popping off the arguments at the beginning of the method.  So
> long as the default value is not a mutable object, then put those
> arguments in the call signature with the default values.  It is much
> more IDE and documentation-friendly this way.
>
> Third, I would think that using plt.gca() would be better than
> plt.axes() just in case the user is using subplots.  gca() will create
> an axes if none exists already.
>
> Lastly, you should do ax.plot() instead of plt.plot() since you have
> already retrieved the axes object.  This way, in case the axes object
> passed in is not the currently active axes, it would still work.
>
> The difficulty in getting this included into matplotlib proper (and the
> same goes to the other thread about streamgraphs) is that these plots
> are done in an object oriented rather than procedural approach.
> Personally, I would like to see (one day) a refactor of matplotlib where
> everything plotable is an object that gets placed into the axes object
> (which, itself is a plotable that gets placed in a figure...).  While
> the current code isn't too far from that concept, the interface is
> ultimately procedural.
>
> @everyone else:
> The big reason I see for a future refactor to an object-oriented
> approach is that plots are getting more complicated, and we can't just
> keep on adding more methods to the axes object.  A more object-oriented
> approach would allow for complex graphs to be placed into their own
> modules, and yet still be treated the same as any other plotting
> method.  It would also make it easier for others to extend matplotlib's
> plotting features.
>
> Ben Root
>

On 2/11/11 3:06 PM, Ray Speth wrote:
> Hi,
>
> I wrote a script to generate streamline plots using matplotlib a while
> ago, and this post inspired me to finally clean it up a bit. The code is
> available at http://web.mit.edu/speth/Public/streamlines.py and you can
> see an example of its output at
> http://web.mit.edu/speth/Public/streamlines.png
>
> I'd be happy to have it find a home in matplotlib if it would be useful
> to other people there.


Could you put a license statement on the file you posted?  Even if it 
isn't included in matplotlib, I think we would love to include it in 
Sage.  I've wanted to have streamline plots in Sage for a long time, and 
your plots look great!

Thanks,

Jason

On Fri, Feb 11, 2011 at 3:06 PM, Ray Speth <sp...@mi...> wrote:

> Hi,
>
> I wrote a script to generate streamline plots using matplotlib a while
> ago, and this post inspired me to finally clean it up a bit. The code is
> available at http://web.mit.edu/speth/Public/streamlines.py and you can
> see an example of its output at
> http://web.mit.edu/speth/Public/streamlines.png
>
> I'd be happy to have it find a home in matplotlib if it would be useful
> to other people there.
>
> Ray
>
>
Ray,

That is absolutely beautiful work there.

At the very least, I would like to see this added to the gallery or the
cookbook.  The code is very nicely commented and documented.  Just a few
points that come to mind.

First, consider the possibility of using asanyarray() instead of asarray().
The big usecase for asanyarray is the use of masked arrays.

Second, I am personally against call signatures that are just "**kwargs" and
then popping off the arguments at the beginning of the method.  So long as
the default value is not a mutable object, then put those arguments in the
call signature with the default values.  It is much more IDE and
documentation-friendly this way.

Third, I would think that using plt.gca() would be better than plt.axes()
just in case the user is using subplots.  gca() will create an axes if none
exists already.

Lastly, you should do ax.plot() instead of plt.plot() since you have already
retrieved the axes object.  This way, in case the axes object passed in is
not the currently active axes, it would still work.

The difficulty in getting this included into matplotlib proper (and the same
goes to the other thread about streamgraphs) is that these plots are done in
an object oriented rather than procedural approach.  Personally, I would
like to see (one day) a refactor of matplotlib where everything plotable is
an object that gets placed into the axes object (which, itself is a plotable
that gets placed in a figure...).  While the current code isn't too far from
that concept, the interface is ultimately procedural.

@everyone else:
The big reason I see for a future refactor to an object-oriented approach is
that plots are getting more complicated, and we can't just keep on adding
more methods to the axes object.  A more object-oriented approach would
allow for complex graphs to be placed into their own modules, and yet still
be treated the same as any other plotting method.  It would also make it
easier for others to extend matplotlib's plotting features.

Ben Root

Can anyone share a colormap that goes from bright yellow to
dark blue via green, along the lines of the middle 2/3 of
gist_rainbow?
http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps

Thanks,
Alan Isaac

Hi,

I wrote a script to generate streamline plots using matplotlib a while 
ago, and this post inspired me to finally clean it up a bit. The code is 
available at http://web.mit.edu/speth/Public/streamlines.py and you can 
see an example of its output at 
http://web.mit.edu/speth/Public/streamlines.png

I'd be happy to have it find a home in matplotlib if it would be useful 
to other people there.

Ray

On 02/11/2011 11:10 AM, Gökhan Sever wrote:
> Hi,
> I see two related requests on:
> http://old.nabble.com/matplotlib-to-draw-streamlines--td28008708.html
> http://www.mail-archive.com/mat...@li.../msg07267.html
> a request filed on
> http://sourceforge.net/tracker/index.php?func=detail&aid=3080981&group_id=80706&atid=560723
> <http://sourceforge.net/tracker/index.php?func=detail&aid=3080981&group_id=80706&atid=560723>
> Is there any progress on this plot? Or source guides to implement such
> functionality in mpl?
> PS: The feature request @
> http://sourceforge.net/tracker/?atid=560723&group_id=80706&func=browse
> <http://sourceforge.net/tracker/?atid=560723&group_id=80706&func=browse> looks
> spammed? Anyone works on clearing these?
>
> --
> Gökhan
>
>
>
> ------------------------------------------------------------------------------
> The ultimate all-in-one performance toolkit: Intel(R) Parallel Studio XE:
> Pinpoint memory and threading errors before they happen.
> Find and fix more than 250 security defects in the development cycle.
> Locate bottlenecks in serial and parallel code that limit performance.
> http://p.sf.net/sfu/intel-dev2devfeb
>
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

On 2/11/11 9:45 AM, Jeff Whitaker wrote:
> On 2/11/11 9:10 AM, Gökhan Sever wrote:
>> Hi,
>> I see two related requests on:
>> http://old.nabble.com/matplotlib-to-draw-streamlines--td28008708.html
>> http://www.mail-archive.com/mat...@li.../msg07267.html
>> a request filed on
>> http://sourceforge.net/tracker/index.php?func=detail&aid=3080981&group_id=80706&atid=560723
>> <http://sourceforge.net/tracker/index.php?func=detail&aid=3080981&group_id=80706&atid=560723>
>> Is there any progress on this plot? Or source guides to implement such
>> functionality in mpl?
>> PS: The feature request @
>> http://sourceforge.net/tracker/?atid=560723&group_id=80706&func=browse
>> <http://sourceforge.net/tracker/?atid=560723&group_id=80706&func=browse>  looks
>> spammed? Anyone works on clearing these?
>>
>> -- 
>> Gökhan
> Gökhan:  Nobody is working on that as far as I know.  An interesting
> alternative to streamlines can be found here:
>
> http://scikits.appspot.com/vectorplot
>
> -Jeff
>
>
Gökhan:

I just added a lic_demo.py example to basemap SVN that shows how to use 
the vectorplot scikit with basemap (image as 
http://jswhit.fastmail.fm/lic_demo.png). Is this the sort of thing you 
were looking for?

-Jeff

-- 
Jeffrey S. Whitaker         Phone  : (303)497-6313
Meteorologist               FAX    : (303)497-6449
NOAA/OAR/PSD  R/PSD1        Email  : Jef...@no...
325 Broadway                Office : Skaggs Research Cntr 1D-113
Boulder, CO, USA 80303-3328 Web    : http://tinyurl.com/5telg

On Thu, Jan 20, 2011 at 4:44 AM, Stephan Markus <zw...@we...> wrote:
>
> Hello!
>
> I am also using two axes in a plot and want to be able to pick the lines of
> both axes.
> So far I used MPL 0.99.3 and a button on my interface to change the z-order
> of the axes in order to be able to pick lines of the "active" axes and to
> see the correct x/y data in the navigation toolbar. The callback code of my
> button is basically the code from othererik.
>
> Since MPL 1.0.0 I have the problem that lines of the second axes simply
> disappear from the plot whenever the plot is redrawn and it's zorder is
> higher.

This thread, in which I asked a similar question and receive a
workable solution from JJ, might be helpful.  I am now just
automatically moving all my lines over to the highest z-order axis so
that whatever is visible is pickable.  (But see below for a gotcha)

http://old.nabble.com/unable-to-point-pick-2nd-axis-after-upgrade-to-mpl-1.0-td30400311.html

On this note, to the developers:  This need to take into account the
z-order for picking lines has made my development more difficult.  I
have had a week's delay due to a difficult-to-understand bug in my
code in which I prematurely moved the line over to the highest z-order
axis, and then tried to format the axis with a custom
formatter--causing an error.  Simply moving the line only after all
formatting is done fixed the bug, but that wasn't obvious for a while.
The need to track which lines are on which z-order and to move them
only after all formatting/locating has been done on them strikes me as
a new "gotcha" that the simpler and more intuitive approach of "if you
can see it, you can pick it" didn't have. (I have a somewhat complex
case, though, in which there are three possible sorts of axes that
could wind up on either the right or left sides).

It also seems counter-intuitive that a line can "belong" to an axis
from the in Matplotlib and yet for the user it clearly is measured
using the other axis.  Could "z-order mattering" be toggled?  Anyway,
my 2 cents.

Thanks,
Che

On 2/11/11 9:10 AM, Gökhan Sever wrote:
> Hi,
> I see two related requests on:
> http://old.nabble.com/matplotlib-to-draw-streamlines--td28008708.html
> http://www.mail-archive.com/mat...@li.../msg07267.html
> a request filed on 
> http://sourceforge.net/tracker/index.php?func=detail&aid=3080981&group_id=80706&atid=560723 
> <http://sourceforge.net/tracker/index.php?func=detail&aid=3080981&group_id=80706&atid=560723>
> Is there any progress on this plot? Or source guides to implement such 
> functionality in mpl?
> PS: The feature request @ 
> http://sourceforge.net/tracker/?atid=560723&group_id=80706&func=browse 
> <http://sourceforge.net/tracker/?atid=560723&group_id=80706&func=browse> looks 
> spammed? Anyone works on clearing these?
>
> -- 
> Gökhan

Gökhan:  Nobody is working on that as far as I know.  An interesting 
alternative to streamlines can be found here:

http://scikits.appspot.com/vectorplot

-Jeff


-- 
Jeffrey S. Whitaker         Phone  : (303)497-6313
Meteorologist               FAX    : (303)497-6449
NOAA/OAR/PSD  R/PSD1        Email  : Jef...@no...
325 Broadway                Office : Skaggs Research Cntr 1D-113
Boulder, CO, USA 80303-3328 Web    : http://tinyurl.com/5telg

Hi,

I see two related requests on:

http://old.nabble.com/matplotlib-to-draw-streamlines--td28008708.html
http://www.mail-archive.com/mat...@li.../msg07267.html

a request filed on
http://sourceforge.net/tracker/index.php?func=detail&aid=3080981&group_id=80706&atid=560723

Is there any progress on this plot? Or source guides to implement such
functionality in mpl?

PS: The feature request @
http://sourceforge.net/tracker/?atid=560723&group_id=80706&func=browse looks
spammed? Anyone works on clearing these?

-- 
Gökhan

This is a slightly updated version of the script that uses subplots
instead of making you pop two windows, which doesn't seem to work like
I wanted it to on all systems.  None of the code that does the
locating has changed; only the demonstration part.

-- 
Daniel Hyams
dh...@gm...

Hi Ben,

On Thu, Feb 10, 2011 at 5:27 PM, Benjamin Root <ben...@ou...> wrote:
>
>
> On Thu, Feb 10, 2011 at 4:13 PM, Matthew Turk <mat...@gm...> wrote:
>>
>> Hi Ben,
>>
>> On Thu, Feb 10, 2011 at 5:06 PM, Benjamin Root <ben...@ou...> wrote:
>> > On Thu, Feb 10, 2011 at 1:38 PM, Matthew Turk <mat...@gm...>
>> > wrote:
>> >>
>> >> Hi there,
>> >>
>> >> I'm plotting some images in latitude/longitude space.  These are
>> >> images generated using the HEALpix method for discretizing the sphere,
>> >> but I have resampled them to a regular grid of phi, theta, and the
>> >> resultant image is contained in a variable img.  This is a fully-self
>> >> contained snippet:
>> >>
>> >> import matplotlib.figure
>> >> import matplotlib.backends.backend_agg
>> >> import numpy
>> >> from numpy import pi
>> >>
>> >> img = numpy.random.random((800, 800))
>> >> fig = matplotlib.figure.Figure((10, 4.9))
>> >> ax = fig.add_subplot(1,1,1,projection='mollweide')
>> >> image = ax.imshow(img, extent=(-pi,pi,-pi/2,pi/2), clip_on=False,
>> >> aspect=0.5)
>> >> cb = fig.colorbar(image, orientation='horizontal')
>> >> canvas = matplotlib.backends.backend_agg.FigureCanvasAgg(fig)
>> >> canvas.print_figure("hi.png")
>> >>
>> >> This makes a very nice looking figure, basically as expected: a black
>> >> oval outline for the map projection with the image inside it, the
>> >> lat/lon axes identified, etc.  What I'm running into here is that I
>> >> would like to fiddle with the size of the figure, to adjust the
>> >> whitespace and the position of the colorbar and so on, but any
>> >> adjustment to the height of the figure instantiation, for instance:
>> >>
>> >> fig = matplotlib.figure.Figure((10, 4.9))
>> >>
>> >> (and the rest unchanged) results in the black oval, the axes, but the
>> >> image content is completely blank.  Is this a bug, or just a subtlety
>> >> I'm missing?
>> >>
>> >> Thanks for any ideas!
>> >>
>> >> Best,
>> >>
>> >> Matt
>> >>
>> >
>> > I am curious, why are you saving the figure using canvas.print_figure()?
>> > How is it different from fig.savefig()?  If you, for some reason, must
>> > use
>> > canvas.print_figure(), then it seems like you are creating a new canvas
>> > from
>> > the figure  (I don't know, maybe it grabs figure's existing canvas
>> > object?).  In other words, you could just simply do:
>> >
>> > fig.savefig("hi.png")
>>
>> Maybe I'm doing something wrong here, but in the example script I gave
>> the figure does not have a canvas object affiliated with it; it's set
>> to None until I execute this operation:
>>
>> canvas = matplotlib.backends.backend_agg.FigureCanvasAgg(fig)
>>
>> At that point, fig.canvas is not None, and is the same canvas that I
>> just created:
>>
>> >>> print fig.canvas
>> None
>> >>> canvas = matplotlib.backends.backend_agg.FigureCanvasAgg(fig)
>> >>> canvas.print_figure("hi.png")
>> >>> fig.canvas
>> <matplotlib.backends.backend_agg.FigureCanvasAgg instance at 0x10263d3b0>
>> >>> canvas is fig.canvas
>> True
>>
>> >
>> > or, if you must use canvas.print_figure(), you could do:
>> >
>> > fig.canvas.print_figure()
>> >
>> > instead of the two lines you have right now.
>> >
>> > See if that makes a difference.
>>
>> Unfortunately it didn't end up making a difference.  The image is
>> still printed, with colorbar, with lat/lon lines, but no image in the
>> center of the black oval for the projection.
>>
>> Thanks,
>>
>> Matt
>>
>
> I just figured out why you don't have a canvas object.  It is because you
> aren't creating your figure object correctly.  Try this:
>
> import matplotlib.pyplot as plt
> import numpy
> from numpy import pi
>
> img = numpy.random.random((800, 800))
> fig = plt.figure(figsize=(10, 4.9))
> ax = fig.add_subplot(1,1,1,projection='mollweide')
> image = ax.imshow(img, extent=(-pi,pi,-pi/2,pi/2), clip_on=False,
> aspect=0.5)
> cb = fig.colorbar(image, orientation='horizontal')
> fig.savefig("hi.png")
>
> Notice that the figure is created through the pyplot's figure() method.
> Because pyplot knows the backend, it is able to assign the correct canvas
> object when making the figure object.  This can't be done from the Figure
> constructor alone.  Once a proper figure object is made, it can then
> properly call savefig().
>
> See if that helps!
> Ben Root
>
>

This script does work, but it gives exactly the same results as my
original script -- which is that if the figure size is set to (10,5.0)
it will include the image plot inside the black oval for the
projection, but if the figure size is (10,4.9) it will not.  I've
placed two images here:

http://imgur.com/CApcml&hc4ES
http://imgur.com/CApcm&hc4ESl

The first image was created with figsize (10,5).  The second was with
figsize (10,4.9).  The image plot does not appear in the second one,
although its bounding box does.  Any ideas?

Thanks!

Matt