matplotlib-users Mailing List for matplotlib

I would suggest that you add the axes with:

axes = figure.add_axes((left, bottom, width, height))

instead of .add_subplot().  I think you have too many subplots, it
seems that the algorithm isn't designed for this.  With .add_axes(),
you can add more space.

Note that you have then maybe to call the axes.plot() method directly,
which may be an disadvantage or advantage, depending on you mood :-)

hth,
Friedrich

I deem it useful if you would add a

print map_XX.shape, map_YY.shape, y.shape  .

I'm suspicious about their shape.  _check_xyz() accepts 2D X,Y-arrays
only if their shape is equal to that of y (y in your case).

Friedrich

Hello,

I just uploaded just another Tk backend for matplotlib.  It can
connect to any Figure instance, also with multiple Axes (although only
one will be active for interactive zooming and panning).

I hope the package is useful because of its special mouse usage.

To pan, click right, hold, and pan.
To zoom, click left, hold, and pan.
To auto-zoom, click double-left.
To open a window for adjusting title, xy labels, limits, and also for
saving the figure to hdd, click double-right.

I attach an screenshot of the settings dialog to attract some attention ...

You can download from
github.com/friedrichromstedt/matplotlib_backend_fr .  Please find also
the README there and the screenshot is also placed under Downloads.

If anyone would like the package _and_ would have some wxPython
knowledge or other widget packages, I would appreciate code for
porting it to that widget platform.  Currently only Tk is supported.
But the framework is such that other widgets can reuse some parts of
the implementation.

Friedrich

greetings. i am trying to set ticks on a 3d plot. i see this question  
was asked here, in january, but does not seem to have a response:

http://sourceforge.net/mailarchive/message.php?msg_id=694...@ma...

is there an example available of setting ticks on an Axes3D object?  
everything i try results in strangely distorted graphs.

On 2010-03-11 15:49 PM, Chris Barker wrote:
> Robert Kern wrote:
>>> the triangulation. Yes, it would use the existing delaunay code by
>>> default, and hopefully optionally use the not-as-good-a-license code the
>>> Robert Kern put in SciPy.
>>
>> I did what now?
>
> I thought you'd put a wrapper of a delaunay code that is GPL'd or
> something (not BSD compatible anyway) into a scikit or something?
> optional -- so it doesn't screw up licensing for those that don't want it.
>
> Anyway, the point is, for any code that might be put into MPL, we want a
> properly licensed compatible default, but ideally with the option of
> easily plug in in other, better, delaunay code that may not be license
> compatible.
>
> Now that I've written this, I really should go and look and see if I
> remember correctly:
>
> I've found this:
>
> http://scikits.appspot.com/delaunay
>
> Though I see no reference to license in there, so I presume it's under
> the same license as scipy.
>
> So I guess I was thinking of the natgrid toolkit, which I guess is not
> Robert's work, and is a substitute for nn interpolation, not triangulation.
>
> Sorry for writing too quickly.

Instead of addressing the misconceptions point by point, let me just lay out the 
situation:

natgrid is a GPLed library for doing Delaunay triangulation and natural neighbor 
interpolation. The author is presumed to be deceased, so this code will always 
be GPLed. It seems to fail less often when doing the Delaunay triangulation on 
datasets in the wild; however, it is not using robust geometric primitives, so 
there probably still are cases where it fails.

I wrote a BSD library for doing natural neighbor interpolation using the 
Delaunay triangulation code using the sweepline algorithm. This algorithm does 
not (and cannot) use robust geometric primitives, so there are datasets for 
which it fails to produce a valid triangulation. This is the code in 
scikits.delaunay. I have not pushed it to a 1.0 release because of this issue. 
However, this *was* put into matplotlib. matplotlib can optionally use natgrid 
if it is installed.

> While I've got your attention, though -- I suspect you have looked for
> license compatible delaunay code and the stuff in the scikits package is
> as good as it gets?

Pretty much. I do have some code for constructing the Delaunay triangulation 
using robust primitives and an insertion algorithm, but it is an order of 
magnitude slower than scikits.delaunay. Ideally, we would be able to find or 
write a divide-and-conquer algorithm using Jon Shewchuk's robust geometric 
primitives.

-- 
Robert Kern

"I have come to believe that the whole world is an enigma, a harmless enigma
  that is made terrible by our own mad attempt to interpret it as though it had
  an underlying truth."
   -- Umberto Eco

I have the same problem with nearly identical setup:
OS X 10.5.8 - intel
matplotlib 99.1.1
python 2.6.1
ipython 0.9.1
numpy-1.3.0

--Jim


On Mar 11, 2010, at 1:31 PM, Andre Walker-Loud wrote:

> Hi All,
>
> I am having a problem saving figures produced with matplotlib.  Right
> now, I am running a freshly built
>
> matplotlib-0.99.1.2 (unzipped, the directory reads 0.99.1.1?) built on
> python-2.6
> numpy-1.3.0
> scipy-0.7.1
> ipython-0.10
>
>
> All on an OSX 10.5 intel.
>
> When I try to save a figure, in the "Save the figure" dialogue box,
> the "Save As:" window does not recognize any keyboard entries.  If I
> copy and paste, that works (at first).  But I remembered reading about
> this problem people were having with Snow Leopard.
>
> Originally, copy/pasting worked to "workaround" this problem, but I
> find that after trying a few other things, I can no longer even paste
> anything into the "Save As:" Box.  Further, when I click the "Save" or
> "Cancel" buttons, they flash like normal, however the dialogue box
> does not go away, the file is not saved, and I can't escape!
> Ahhhhhh!  I can still navigate through my folders with the mouse in
> the dialogue box, but clearly something is not right.
>
>
> Last week, I had Python 2.5, matplotlib 0.98.6 and everything worked
> just fine.
>
> I have the problem whether running through python or ipython.asdfasdf
>
>
> Any ideas how to fix this?
>
>
> Thanks,
>
> Andre
>
> ------------------------------------------------------------------------------
> Download Intel® Parallel Studio Eval
> Try the new software tools for yourself. Speed compiling, find bugs
> proactively, and fine-tune applications for parallel performance.
> See why Intel Parallel Studio got high marks during beta.
> http://*p.sf.net/sfu/intel-sw-dev
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://*lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Robert Kern wrote:
>> the triangulation. Yes, it would use the existing delaunay code by
>> default, and hopefully optionally use the not-as-good-a-license code the
>> Robert Kern put in SciPy.
> 
> I did what now?

I thought you'd put a wrapper of a delaunay code that is GPL'd or 
something (not BSD compatible anyway) into a scikit or something? 
optional -- so it doesn't screw up licensing for those that don't want it.

Anyway, the point is, for any code that might be put into MPL, we want a 
properly licensed compatible default, but ideally with the option of 
easily plug in in other, better, delaunay code that may not be license 
compatible.

Now that I've written this, I really should go and look and see if I 
remember correctly:

I've found this:

http://scikits.appspot.com/delaunay

Though I see no reference to license in there, so I presume it's under 
the same license as scipy.

So I guess I was thinking of the natgrid toolkit, which I guess is not 
Robert's work, and is a substitute for nn interpolation, not triangulation.

Sorry for writing too quickly.

While I've got your attention, though -- I suspect you have looked for 
license compatible delaunay code and the stuff in the scikits package is 
as good as it gets?

Thanks,
   -Chris



-- 
Christopher Barker, Ph.D.
Oceanographer

Emergency Response Division
NOAA/NOS/OR&R            (206) 526-6959   voice
7600 Sand Point Way NE   (206) 526-6329   fax
Seattle, WA  98115       (206) 526-6317   main reception

Chr...@no...

Hi,

Could anybody know if there is IRC for matplotlib? as I cannot find it.
Thanks


Regards,
afancy

2010/3/11 Kim Hansen <sla...@gm...>:
> canvas.get_tk_widget().grid(row=0)
> canvas._tkcanvas.grid(row=1)

I cannot reproduce your problem.  Can you maybe provide a
self-contained script to reproduce the behaviour?  Here is mine:

>>> import Tkinter
>>> import matplotlib
>>> tk = Tkinter.Tk()
>>> import matplotlib.figure
>>> fig = matplotlib.figure.Figure()
>>> fig.set_size_inches((3, 3))
>>> import matplotlib.backends.backend_tkagg
>>> canvas = matplotlib.backends.backend_tkagg.FigureCanvasTkAgg(fig, master = tk)
>>> canvas.show()
>>> canvas.get_tk_widget().grid(row = 0, column = 0)  # or .grid(row = 0)

>>> tk.columnconfigure(0, weight = 1)
>>> tk.rowconfigure(0, weight = 1)
>>> canvas.get_tk_widget().grid_forget()
>>> canvas.get_tk_widget().grid(row = 0, column = 0, sticky = Tkinter.NSEW)

Btw, do you know some nice way to change the xy data of a plot?  At
the moment, I'm always clearing the figure and drawing again.

I also don't like the black frame around the figure, with my
self-coded backend using similar code as backend_tkagg.py, I don't
observe such a black frame.

Friedrich

Hi All,

I am having a problem saving figures produced with matplotlib.  Right  
now, I am running a freshly built

matplotlib-0.99.1.2 (unzipped, the directory reads 0.99.1.1?) built on
python-2.6
numpy-1.3.0
scipy-0.7.1
ipython-0.10


All on an OSX 10.5 intel.

When I try to save a figure, in the "Save the figure" dialogue box,  
the "Save As:" window does not recognize any keyboard entries.  If I  
copy and paste, that works (at first).  But I remembered reading about  
this problem people were having with Snow Leopard.

Originally, copy/pasting worked to "workaround" this problem, but I  
find that after trying a few other things, I can no longer even paste  
anything into the "Save As:" Box.  Further, when I click the "Save" or  
"Cancel" buttons, they flash like normal, however the dialogue box  
does not go away, the file is not saved, and I can't escape!   
Ahhhhhh!  I can still navigate through my folders with the mouse in  
the dialogue box, but clearly something is not right.


Last week, I had Python 2.5, matplotlib 0.98.6 and everything worked  
just fine.

I have the problem whether running through python or ipython.asdfasdf


Any ideas how to fix this?


Thanks,

Andre

On Thu, Mar 11, 2010 at 2:41 PM, Craig the Demolishor <des...@gm...
> wrote:

> Hi folks,
>   Lately I've been working with some data that is too copious to fit in
> memory, so I've had to write a wrapper for pyplot.hist that bins the data in
> chunks and then draws it like so:
>
>   pyplot.hist(x_edges, bins=100, weights=bin_contents,
> histtype='stepfilled', facecolor='g')
>
>   However, when I try to set the histogram's y-scale to logarithmic the
> colors get all messed up (see attached). Any ideas? This is w/ matplotlib
> 0.99.0.
>
>
> Thanks in advance.
>
> --cb
>
> # Example script
> import numpy as
> np
> import matplotlib.pyplot as
> plt
>
>
> # generate some data on
> log-scale
> x =
> 10**np.random.uniform(size=10000)
>
> # bin the data myself
> bins, xed = np.histogram(x, bins=100, range=(0,
> 10))
>
> # plot the data as a weighted histo
>
>
> plt.hist(np.linspace(0, 10, 100), bins=100, weights=bins,
> histtype='stepfilled',
> facecolor='g')
>
> plt.yscale('log')
>
> plt.savefig("test.png")
>
> plt.clf()
>
>
>
Use log=True in the plt.hist instead of explicitly setting the in the
yscale()




>
> ------------------------------------------------------------------------------
> Download Intel&#174; Parallel Studio Eval
> Try the new software tools for yourself. Speed compiling, find bugs
> proactively, and fine-tune applications for parallel performance.
> See why Intel Parallel Studio got high marks during beta.
> http://p.sf.net/sfu/intel-sw-dev
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>


-- 
Gökhan

On 2010-03-11 13:38 PM, Chris Barker wrote:
> Ian Thomas wrote:
>> To summarise, you recommend the following units of functionality:
>>
>> 1) Triangulation class to wrap existing delaunay code.
>
> The idea here is that it would provide a class that holds the result of
> the triangulation. Yes, it would use the existing delaunay code by
> default, and hopefully optionally use the not-as-good-a-license code the
> Robert Kern put in SciPy.

I did what now?

-- 
Robert Kern

"I have come to believe that the whole world is an enigma, a harmless enigma
  that is made terrible by our own mad attempt to interpret it as though it had
  an underlying truth."
   -- Umberto Eco

Ian Thomas wrote:
> To summarise, you recommend the following units of functionality:
> 
> 1) Triangulation class to wrap existing delaunay code.

The idea here is that it would provide a class that holds the result of 
the triangulation. Yes, it would use the existing delaunay code by 
default, and hopefully optionally use the not-as-good-a-license code the 
Robert Kern put in SciPy. In the future, I hope we can find a robust and 
well-licensed code -- I may be able to release some in-house code of 
ours for that some day.

> 2) Separate the storage of and creation of contour sets so that you
> can create your own.
> 3) tricontour and tricontourf functions to contour a Triangulation.
> 4) Python utility plotting functions for a Triangulation (triplot,
> tripcolor, etc).
> 5) Simple wrappers for 3 and 4 so you can just pass in the points and
> the Triangulation is created for you behind the scenes.

yup -- that all sounds great!

> I am happy to make a start with this;

wonderful!

> no doubt it will take me a while.  I should point out that I don't intend
 > to tinker with the
> delaunay code, so we'll still left with those pathological cases
> that it doesn't work with.  Maybe this can be revisited when I'm done.

hopefully, there still doesn't appear to be a really good delaunay code 
with a flexible license out there -- pity.

> Do you want it all in one go, or one unit of functionality at a time
> (my preference)?

I don't see any reason to add it piecemeal, as long as the pieces are 
useful by themselves.

> Let's see!  I'll hold off starting until there have been some votes
> for it from other people.

hmm -- I wonder if a post to matplotlib-devel is in order. Most of those 
folks are on this list, to, but may not be following this thread.

By the way, it sounds like your contouring code is in C++ -- is that 
important? I don't expect it should be that computationally expensive, 
though maybe hard to vectorize -- C++ does make portability harder, 
though there's a bunch in MPL already.  If I was starting from scratch, 
I'd use Cython, if pure Python didn't cut it.

-Chris


-- 
Christopher Barker, Ph.D.
Oceanographer

Emergency Response Division
NOAA/NOS/OR&R            (206) 526-6959   voice
7600 Sand Point Way NE   (206) 526-6329   fax
Seattle, WA  98115       (206) 526-6317   main reception

Chr...@no...

Try

ax1 = subplot(121)
ax2 = subplot(122)

ax2._get_lines.color_cycle = ax1._get_lines.color_cycle

ax1.plot([0,1])
ax2.plot([0,1])

Regards,

-JJ


On Thu, Mar 11, 2010 at 9:02 AM, Pribadi, Krishna
<Kri...@ha...> wrote:
> Hello all,
>
> Does anyone know how to get the current line cycle or color cycle for a
> particular line. I’m plotting a collection of lines on 2 axes. After I
> finish plotting on the 1st axis, I then want to plot on the 2nd axis and
> resume where the line color left off in the 1st axis but so far I resets to
> the first line color in the color cycle.
>
>
>
> LMK if anyone knows how to set this. I’ve been digging on the website but
> don’t have much luck.
>
>
>
> Thanks,
>
>
>
> Krishna Adrianto Pribadi
>
> Test Engineer
>
> Desk (TTF): 256.480.4450
>
> Cell: 412.401.1477
>
>
>
> Harley-Davidson Motor Co.
>
> Talladega Test Facility
>
> Vehicle Test Stands (VTS)
>
>
>
> This communication (including any attachments) is for the use of the
> intended recipient(s) only and may contain information that is confidential,
> privileged or otherwise legally protected. Any unauthorized use or
> dissemination of this communication is prohibited. If you have received this
> communication in error, please immediately notify the sender by return
> e-mail message and delete all copies of the original communication. Thank
> you for your cooperation
>
> This communication (including any attachments) is for the use of the
> intended recipient(s) only and may contain information that is confidential,
> privileged or otherwise legally protected. Any unauthorized use or
> dissemination of this communication is prohibited. If you have received this
> communication in error, please immediately notify the sender by return
> e-mail message and delete all copies of the original communication. Thank
> you for your cooperation
>
> ------------------------------------------------------------------------------
> Download Intel&#174; Parallel Studio Eval
> Try the new software tools for yourself. Speed compiling, find bugs
> proactively, and fine-tune applications for parallel performance.
> See why Intel Parallel Studio got high marks during beta.
> http://p.sf.net/sfu/intel-sw-dev
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Did you try *handlelength*?

http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.legend

Regards,

-JJ


On Wed, Mar 10, 2010 at 4:50 PM, Alan G Isaac <ai...@am...> wrote:
> I need a longer sample of the dash pattern in the legend.
> Possible? (numpoints does not work.)
>
> Thanks,
> Alan Isaac
>
> ------------------------------------------------------------------------------
> Download Intel&#174; Parallel Studio Eval
> Try the new software tools for yourself. Speed compiling, find bugs
> proactively, and fine-tune applications for parallel performance.
> See why Intel Parallel Studio got high marks during beta.
> http://p.sf.net/sfu/intel-sw-dev
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
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>

Just to conclude the problem. I've just installed a fresh svn matplotlib (1.0-svn to be exact) and the problem with path optimisation disappeared, meaning with path.simplify False plots are correct as far as my data is concerned.
BTW it very nicely builds out-of-the-box  on 10.6 in 64-bit mode.

Cheers,

Jakub


On 18 Feb 2010, at 22:37, Eric Firing wrote:

> Jakub Nowacki wrote:
>> Hi,
>> I work with neural models and I have problem with plotting fast spiking data. The spikes on the plot appear to have different hight which changes when I for example resize the plot window. The same problem is with saving data into files, especially in vector formats. I found the information about changing the join style, it helps a bit (rounded is the best) but doesn't solve the problem. For raster formats the workaround is to save the data in higher resolution, using DPI option. Below I included links to examples.
> 
> This sounds like a problem with the path simplification algorithm.  If so, the question is whether it is a bug that has been fixed or a new bug.  What mpl version are you using?  Can you build and install from svn?
> 
> Eric
> 
>> Normal example (100 DPI):
>> https://docs.google.com/leaf?id=0B3NZY3443E1VY2JjNTc3MjAtZDI5NC00OThjLTgwY2EtNTVhMDVkZWQ2YzIw&hl=en
>> Example 300 DPI:
>> https://docs.google.com/leaf?id=0B3NZY3443E1VNDdkMzUzNzAtMjdmNC00NjFmLTliMzMtODE5MzExMmNjNjQz&hl=en
>> The problem is vector files (I'm especially interested in EPS) ignore DPI option. I've experimented with different backends and the problem is persistent on GUI and 'file-writting' back ends. I also tested it on Linux and Mac, and the outcome does't change. Creating larger figures sometimes helps a bit but not always solve the problem. Just to mention that plotting this kind of data is possible 'out of the box'  in Matlab or XPPAut (which is not the most fancy plotting tool) I get a proper outcome. Maybe there should be a option to plot raw data in some sense, or join style function that deals with such a plots in a proper fashion. If you need some additional information do not hesitate to ask. Thanks for the help in advance. Cheers,
>> Jakub

On Wed, Mar 10, 2010 at 3:11 PM, Matthew MacLeod
<ma...@ee...> wrote:
> I'm trying to make a plot that shares the x axis, but that have two
> different y scales. I can do this, almost, I say almost because I don't
> know how to turn off the reflection of my y ticks, so they are reflected
> and obscure the scale on the other side, if the scales aren't similar.
>
> I looked at the example
> http://matplotlib.sourceforge.net/plot_directive/mpl_examples/api/two_scales.py
>
>

I'm afraid that I'm not sure what the problem is. The two_scales.py
example looks okay to me.
Can you post a screenshot of your result (with some annotation if
possible) so that we can have better idea what is wrong?

Regards,

-JJ

This is a known bug that is fixed in svn (maybe in maint. release too).
The following link gives you a workaround.

http://abitofpythonabitofastronomy.blogspot.com/2009/09/grid-bug-in-axesgrid.html

Depending on your needs, it may better to use spines instead of
axes_grid toolkit.

http://matplotlib.sourceforge.net/examples/pylab_examples/spine_placement_demo.html

Regards,

-JJ


On Wed, Mar 10, 2010 at 10:06 AM, Pribadi, Krishna
<Kri...@ha...> wrote:
> I was running this example, but would like to show the grid. For some
> reason, the plt.grid(“on”) does not work. Any thoughts?
>
> http://matplotlib.sourceforge.net/examples/axes_grid/simple_axisline2.html
>
>
>
> Thanks,
>
> Krishna Adrianto Pribadi
>
> Test Engineer
>
> Desk (TTF): 256.480.4450
>
> Cell: 412.401.1477
>
>
>
> Harley-Davidson Motor Co.
>
> Talladega Test Facility
>
> Vehicle Test Stands (VTS)
>
>
>
> This communication (including any attachments) is for the use of the
> intended recipient(s) only and may contain information that is confidential,
> privileged or otherwise legally protected. Any unauthorized use or
> dissemination of this communication is prohibited. If you have received this
> communication in error, please immediately notify the sender by return
> e-mail message and delete all copies of the original communication. Thank
> you for your cooperation
>
> ------------------------------------------------------------------------------
> Download Intel&#174; Parallel Studio Eval
> Try the new software tools for yourself. Speed compiling, find bugs
> proactively, and fine-tune applications for parallel performance.
> See why Intel Parallel Studio got high marks during beta.
> http://p.sf.net/sfu/intel-sw-dev
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

On Tue, Mar 9, 2010 at 4:22 PM, othererik <oth...@gm...> wrote:
> I assumed that my_polygon.set_clip_path( patch ) where patch is a
> patches.Polygon would do the trick.
>

Please post a complete example that demonstrate your problem. My guess
is that maybe you are not setting the transform of the clipping path
correctly.
Regards,

-JJ

I figured it out, found answer on this site:
http://old.nabble.com/Automatically-changing-line-colors-td893139.html#a949316 
-- 
View this message in context: http://old.nabble.com/get-set-current-index-of-color-cycle%2C-how-to-tp27864297p27865867.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

On 3/11/2010 8:35 AM, Kim Hansen wrote:
>  I would really like to use a grid geometry manager instead

http://effbot.org/tkinterbook/grid.htm

hth,
Alan Isaac

get current line cycle (color cycle), how to

Does anyone know how to get and set the index in the line color cycle for a
particular line? I’m plotting a collection of lines on 2 axes using the
default line colors. After I finish plotting on the 1st axis, I then want to
plot on the 2nd axis and resume where the line color left off in the 1st
axis. but so far it resets to the first line color in the color cycle.

 

LMK if anyone knows how to get and set the index of the color cycling. I’ve
been digging on the website but didn’t have much luck.

 

Thanks,
Krishna
-- 
View this message in context: http://old.nabble.com/get-set-current-index-of-color-cycle%2C-how-to-tp27864297p27864297.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Hello all,
Does anyone know how to get the current line cycle or color cycle for a particular line. I'm plotting a collection of lines on 2 axes. After I finish plotting on the 1st axis, I then want to plot on the 2nd axis and resume where the line color left off in the 1st axis but so far I resets to the first line color in the color cycle.

LMK if anyone knows how to set this. I've been digging on the website but don't have much luck.

Thanks,

Krishna Adrianto Pribadi
Test Engineer
Desk (TTF): 256.480.4450
Cell: 412.401.1477

Harley-Davidson Motor Co.
Talladega Test Facility
Vehicle Test Stands (VTS)


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the intended recipient(s) only and may contain information that is
confidential, privileged or otherwise legally protected. Any
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prohibited. If you have received this communication in error,
please immediately notify the sender by return e-mail message and
delete all copies of the original communication. Thank you for your
cooperation.

Hi matplotlib list,

I am a resonably experienced python and matplotlib user, when it comes to
make cmd line programs for batch processing, but I have never tried to make
python GUI before.

I am working on a prototype product, where I want the typical matplotlib
plotting window, but extended with controls, such that I can control certain
parameters determining what is being plotted.

I have looked at the embedding_in_tk.py example

http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_tk.html

which uses the pack manager. That example works like a charm for me, and it
seems like i should be able to extend it for my needs

I have also managed to add controls to that using the Tkinter module and
pack(), i.e., the tedious to maintain pack manager

However, I would really like to use a grid geometry manager instead as I
find it much easier to manage. I have therefore tried to modify the example
to use grid instead by moifying the two pack lines in the example

...

#canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)

canvas.get_tk_widget().grid(row=0)

...

#canvas._tkcanvas.pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)

canvas._tkcanvas.grid(row=1)

...
However, when I try to run that code, I just get an empty form

I have tried other options in the grid method, with no success. I am sure i
must be missing something obvious? Admittedly, these backend things are
close to voodoo for me, so i am just trying to get a prrof of concepts, but
i would not claim that i really undertsnad what is going on.

I have tried to look for useful documentation for doing these kinds of
things, but I have had only limited success. Directions/links to relevant
material would be appreciated as well.

Thanks,

Kim

Chris Barker wrote:
> ... <snip> ...

To summarise, you recommend the following units of functionality:

1) Triangulation class to wrap existing delaunay code.
2) Separate the storage of and creation of contour sets so that you
can create your own.
3) tricontour and tricontourf functions to contour a Triangulation.
4) Python utility plotting functions for a Triangulation (triplot,
tripcolor, etc).
5) Simple wrappers for 3 and 4 so you can just pass in the points and
the Triangulation is created for you behind the scenes.

I am happy to make a start with this; no doubt it will take me a
while.  I should point out that I don't intend to tinker with the
delaunay code, so we'll still be left with those pathological cases
that it doesn't work with.  Maybe this can be revisited when I'm done.

Do you want it all in one go, or one unit of functionality at a time
(my preference)?

> Thanks for this, I'm hope I'm not alone in thinking it's really useful stuff.

Let's see!  I'll hold off starting until there have been some votes
for it from other people.

Ian