matplotlib-users — Discussion related to using matplotlib

Re: [Matplotlib-users] mouse events and plotting many points dynamically

[Arnd B. <arn...@we...>]

On Mon, 19 Jul 2004, John Hunter wrote:

> >>>>> "Arnd" == Arnd Baecker <arn...@we...> writes:
[...]
>     Arnd> 1) I would like to know if there is an equivalent to the
>     Arnd> scipy.xplt.mouse command which (in its simplest form) waits
>     Arnd> for a mouse click and returns its coordinates:
>
>     Arnd> Example: #------------------------------------- from
>     Arnd> scipy.xplt import * x=arange(0.0,1.0,0.1) plg(x*x,x)
>     Arnd> m=mouse(1,-1,"click with the mouse") print "x,y=",m[0],m[1]
>     Arnd> #-------------------------------------
[...]
>
> For some time, we've provided basic cross GUI event handling with the
> canvas.connect method.  Todd Miller had the idea to port the gtk
> connect interface to Tk.  For example, the demo coords_demo.py runs
> unchanged on TkAgg and GTKAgg.  This is only a partial implementation,
> and in CVS I've extended it a bit more.  The new method is called
> mpl_connect, and you will be able to do, across GUIs, calls like
>
> def on_move(event):
>     # get the x and y coords
>     x, y = event.x, event.y
>     ...snip...
>
> canvas.mpl_connect('motion_notify_event', on_move)
>
>
> I plan to provide the motion notify, on click, and key press events,
> and provide some extra positional information in the events, namely
> canvas coordinate location and axes coordinate location.  The backend
> will handle things like flipy so the script can ignore it.  I'm in the
> process of designing a better toolbar and am using this cross-GUI
> event handling to minimize the burden of implementing the toolbar in
> the various backends.
>
> In order to do something like the
>
>   m = mouse(1,-1,"click with the mouse")
>   print "x,y=",m[0],m[1]
>
> example, it would be necessary to implement some cross gui blocking
> capability, so that the execution of the script is halted until the
> block is removed.  I don't see this as a major problem, but will
> require some input from people with experience on the not-GTK GUIs.
> It's probably not be necessary, though, since it's only a few more
> keystrokes to do
>
> def on_click(event): print 'x, y =', event.x, event.y
> canvas.mpl_connect(''button_press_event', on_click)
>
> This should be ready by the 0.61 release.

Excellent - that sounds really good!
Still I think that maybe the variant with blocking is
useful as well: I am having our students in mind
which were quite happy and sucessfull with scipy.xplt
(in particular also those who had no previous programming
experience.) Introducing them to event driven ``design''
already in the second excercise might be burdoning them
too much (but maybe I am wrong).

> BTW, as a wx expert,
> perhaps you have a code snippet I can use which calls the event
> Connect and Disconnect methods directly.  I'm currently trying to
> figure this out for the wx implementation of mpl_connect and
> mpl_disconnect.

I am definitively no wx expert - a lot of the stuff I learned
from looking at Chris Barker's and Gordon Williams' code
and the wxPython demo. So I also don't have an example here.
(It only rings a bell that Chris maybe had some discussion
on this on the wxPython mailing list - I think it
was about creating custom events - maybe
there is an example in Chris' FloatCanvas?
Ok, I just had a _quick_ look and at the beginning
of FloatCanvas.py
(  http://home.comcast.net/~chrishbarker/FloatCanvas/  )
there are a couple of  window.Connect.
Maybe this helps...
Anyway, if you did not succeed by Friday let me know
and I will try to have a look over the week-end.


>     Arnd> 2) For one set of applications I would like to be able to
>     Arnd> plot several times 1000 points (or more).  Optimally would
>     Arnd> be to plot one point after another to get a dynamical
>     Arnd> impression.  In the application I have in mind there would
>     Arnd> be no need to store these points (ie zooming is not
>     Arnd> necessary) which normally degrades performance.  Presently
>     Arnd> for me the solution for this type of things is our
>     Arnd> PlottingCanvas for wxPython, see
>     Arnd> http://www.physik.tu-dresden.de/~baecker/python/plot.html
>     Arnd> and there the StandardMap.py example.
>
> There is a lot of interest in making dynamical plotting more
> efficient.  Currently, the entire figure is redrawn with each frame
> update, which is clearly not ideal for dynamic figures in which only a
> portion needs to be redrawn.  I'm interested in making some changes to
> better support "real time" data acquisition, where the quotes mean
> "fast enough to handle most use cases".

Personally I am a bit sceptic, if it is possible to
cater for all needs (super-fast vs. zooming/redraw of stored data, ...),
sureley not at the same time but maybe a
reasonable comprise is possible ;-).

> My current thought is to support drawing to subsections of the agg
> canvas, eg, so that a single axes, line or patch could be updated
> without updating the entire figure canvas.  To support this, each
> object would need to know it's rectangular extent (done), take a
> snapshot of the background canvas before drawing (to be done) and know
> how to render itself to canvas (done).  In addition, agg and the
> backends would need to be extended to allow drawing of subregions of
> the canvas, which should be fairly easy.  By calling the right
> combination of store_background, draw and erase, you could get much
> faster dynamic plots.

Thinking of the example I have in mind, where not untypically
up to 100 x 10000 points are plotted (or even more)
storing each point as an object + further information
might (presumably will) slow things down and cause memory problems
(that's what occurred for me with Tkinter).
Anyway, in September we have a student who will
set up a couple of examples and then we will see
if things are fast enough (for us ;-)...

> The current implementation (redrawing the entire figure) is pretty
> fast on a fast machine, but needs to be faster.
>
> How do you do this in PlottingCanvas?  Do simply add objects to the
> canvas

Yes (with the usual double-buffering)
so for example for a circle we just call
  self.ScreenDC.DrawCircle(x, y, pointsize)
  self.BufferDC.DrawCircle(x, y, pointsize)
and the border color and fill color of the circle are
initialized before and only once for a sequence of successive points.

Also (in the case of wx) it helps a lot if the
drawing context (DC) is only initialized once
for a sequence of successive points.
Nikolai (Hlubek) measured the speed increase to be

  factor 2   for  wx.wxClientDC(self)
  factor 10  for  wx.wxBufferedDC(wx.wxClientDC(self), self._Buffer)

> and redraw the entire canvas if you need to remove an object,

Well, in the fastest mode of operation we don't
allow for removal of objects/resizing the canvas and things like that...

> or do you support selective erasing and removal of objects?

No. What the PlottingCanvas does provide though
is the possibility to ``move'' an object over
a ``background'' plot - see AnnularBilliard.py
where a ball is moving inside a two-dimensional billiard
(click in the right window to specify the initial condition
and move the slider upwards to increas the speed of
the ball a bit).

In another mode of operation we enable storing
of all data points (with the corresponding speed penalty).
This then allows to zoom in and redraw those data.

Despite some optimizations, plotting with wx
is still not as fast as for example with pgplot
(wherever the bottlenecks are ;-).

Best,

Arnd

Re: [Matplotlib-users] debian

[Arnd B. <arn...@we...>]

On Mon, 19 Jul 2004, Malte Marquarding wrote:

> I have sarge (with a few unstable bits and pieces)
> It 'shouldn't' be dependent on "unstable".
>
> You can always see what extra libs it wants and decide then if you wnat
> it or not.
>
> Cheers,
> Malte.

Indeed it works without any problems - the only
additional requirement from http://mentors.debian.net/
was python-ttfquery_1.0.0_all.deb
(it also requested
fonttools,  python-gd python2.3-xml libgd2-xpm libgd-tools,
all available in testing.)

Many thanks,

Arnd


> Arnd Baecker wrote:
>
> >
> >
> >Before I screw up my installation ;-)
> >  - did anyone successfully use these on sarge (debian testing)?
> >  - and/or are there deb's available for sarge?
> >
> >Many thanks,
> >
> >Arnd
> >
> >
>
>
>
> -------------------------------------------------------
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[Matplotlib-users] Interactivity from a script

[Malte M. <Mal...@cs...>]

Hi,

I am trying to use a script interacively. It basically needs to do the 
following.

* do some work
* plot()
* Ask whether to keep the data plotted or not
etc.

This should be done (initially) at the command line using raw_read().
I don't want to close the plot window  to get back to the prompt.
In terms of a GUI this would be easy as the dialog would run in the same 
thread as the plot window.
But interactive.py  doesn't seem to be the solution.

BTW, I am running 0.54.2 as I can't get 0.60.2 to compile under debian 
stable.

[Matplotlib-users] How to run matplotlib in batch mode to generate plot image files

[Vineet J. <vi...@al...>]

1. I added the following at the end of the script just before show

savefig("filename")

It works however the intereactive mode still comes up. How can I generate
the image file without having the interactive window come up.

2. figure(1, facecolor=figBG)
What is this used for? Is it for the interactive charting? I can still
generate charts to file with this commented.

3. Where and how do you set the overall size of the chart ( in inches or
pixels)

Thanks,

Vineet

Re: AW: [mailinglist] [Matplotlib-users] gtk vs wx

[Stephen R. <snr...@ya...>]

There is a backend from wx to maplotlib, along with GTK and TKinter 
also. I'm just recently started using matplotlib and wx. Seems to work 
fine - though not very fast for what we're trying to do (multiple 
graphs on screen, updated at a fixed multi-Hz rate). Having said that, 
matplotilb does a decent job and the feedback and turnaround on its 
mailing list is great. I haven't delved far into wx yet, but for the 
most part its decent with pretty good documentation.

HTH
Stephen

On Jul 19, 2004, at 4:59 PM, Uwe Schmitt wrote:

>>
>> Hi everyone,
>
> Hi Darren,
>
>>
>> Now that I have become an intermediate python programmer, I want to
>> learn how to build some GUIs. I am trying to decide between WX and 
>> GTK,
>> and was hoping to get input from this list specifically.
>>
>
> wxPython wraps wxWidgets which wraps GTK on Unix machines.
>
> From wxwidgets.com:
>   "wxWidgets gives you a single, easy-to-use API for writing GUI
> applications
>   on multiple platforms. Link with the appropriate library for your 
> platform
>   (Windows/Unix/Mac, others coming shortly) and compiler (almost any 
> popular
> C++ compiler),
>   and your application will adopt the look and feel appropriate to that
> platform. "
>
> So you get cross platform support for free. I had a look at pyQt which 
> looks
> very promising, but has some limitations if you want to sell pyQT
> applications
> for windows machines.
>
> There is a package called PythonCard (http://pythoncard.sf.net) which 
> is
> a layer above wxPython. PythoCard simpliefies programming simple GUIs,
> but is restricted in its functionality.
>
> wxPython is my workorse for GUI programming for some years now and
> I'm quite happy with it. The mailing list is friendly and helpfull, 
> too.
>
> According to http://matplotlib.sf.net there is a wx backend, but I 
> never
> used it.
>
> Greetings, Uwe.

AW: [mailinglist] [Matplotlib-users] gtk vs wx

[Uwe S. <sc...@nu...>]

>
> Hi everyone,

Hi Darren,

>
> Now that I have become an intermediate python programmer, I want to
> learn how to build some GUIs. I am trying to decide between WX and GTK,
> and was hoping to get input from this list specifically.
>

wxPython wraps wxWidgets which wraps GTK on Unix machines.

From wxwidgets.com:
  "wxWidgets gives you a single, easy-to-use API for writing GUI
applications
  on multiple platforms. Link with the appropriate library for your platform
  (Windows/Unix/Mac, others coming shortly) and compiler (almost any popular
C++ compiler),
  and your application will adopt the look and feel appropriate to that
platform. "

So you get cross platform support for free. I had a look at pyQt which looks
very promising, but has some limitations if you want to sell pyQT
applications
for windows machines.

There is a package called PythonCard (http://pythoncard.sf.net) which is
a layer above wxPython. PythoCard simpliefies programming simple GUIs,
but is restricted in its functionality.

wxPython is my workorse for GUI programming for some years now and
I'm quite happy with it. The mailing list is friendly and helpfull, too.

According to http://matplotlib.sf.net there is a wx backend, but I never
used it.

Greetings, Uwe.


>

Re: [Matplotlib-users] Widgets

[Stephen W. <ste...@cs...>]

On Mon, 2004-07-19 at 10:28, John Hunter wrote:

> As for
> resetting the axes to the original view, redraw would not have done
> that.  In the next generation toolbar, I might be able to add a button
> to support that.  It already has a forward / back button to navigate
> between previous views.

Er, it does?  I don't see them, at least not with either the default
backend on FC1, which I'm guessing is GTK, nor with the TkAgg one.

Incidentally, the on line .matplotlibrc example file still has the
"toolbar" keyword, which is gone, and is missing the "datapath" one.

-- 
Stephen Walton <ste...@cs...>
Dept. of Physics & Astronomy, Cal State Northridge

[Matplotlib-users] gtk vs wx

[Darren D. <dd...@co...>]

Hi everyone,

Now that I have become an intermediate python programmer, I want to 
learn how to build some GUIs. I am trying to decide between WX and GTK, 
and was hoping to get input from this list specifically.

GTK seems to have the most active support in matplotlib. Is this true? 
The amount of demo code for learning pygtk is not as good as for 
wxPython, for example, I cant figure out how to call a print dialog with 
gtk. Does one exist?

WX seems to have the most broad support in the Python community. WX 
seems easier to work with based on the demo code, but once I graduate 
and make the switch to Linux, it seems a waste to be interfacing GTK 
through wxPython. WX needs another person to help with maintanence, and 
I want to help with Matplotlib when I become experienced enough to be of 
use to the project. But for now, I need to be able to analyze data and 
finish school.

While undecided on a GUI, I am decided on python and matplotlib, so your 
input would be valuable. Right now I don't have enough experience to 
make an intelligent decision.

Thanks in advance,

Darren

-- 
Darren S. Dale
dd...@co...

PGP public key available

[Matplotlib-users] Bug in colorbar labeling

[Curtis C. <cu...@hi...>]

Hi,

I have been using the colorbar() method along with pcolor to make image
plots of data.  Normally, the colorbar legend is correct.  However, when
the range of numbers to plot is less than 1, such as 10^-3 - 2*10^-3, the
colorbar labels just show up as 0.0 on the top and bottom.

Thanks,
Curtis

Re: [Matplotlib-users] Widgets

[John H. <jdh...@ac...>]

>>>>> "Stephen" == Stephen Walton <ste...@cs...> writes:

    Stephen> I have played with version 0.50 a bit before, but I asked
    Stephen> about the "missing" widgets because they're still in the
    Stephen> online tutorial.  Plus, I had thought the redraw button
    Stephen> would be a convenient way to reset a plot to its default
    Stephen> after zooming and/or scrolling in one or the other axis.
    Stephen> This last function is one I actually need, but I was
    Stephen> unable to see anywhere in the documentation how it might
    Stephen> be done.

Thanks for letting me know about the tutorial problem.  As for
resetting the axes to the original view, redraw would not have done
that.  In the next generation toolbar, I might be able to add a button
to support that.  It already has a forward / back button to navigate
between previous views.  By clicking back enough times, you'll get
back to your original view.  Still, if you are deep enough in, a
"reset" button might be nice.


    Stephen> This turned out to be SOE (Stupid Operator Error).  I
    Stephen> didn't have the tk-devel and tcl-devel packages
    Stephen> installed.  Unfortunately the lack of tk.h and/or tcl.h
    Stephen> causes so many error messages in the compile that the
    Stephen> line complaining about their lack is easy to miss.  Not a
    Stephen> matplotlib problem, I hasten to add.

Yep, you have to train yourself to find that first error, the rest are
often meaningless.

JDH

Re: [Matplotlib-users] mouse events and plotting many points dynamically

[John H. <jdh...@ac...>]

>>>>> "Arnd" == Arnd Baecker <arn...@we...> writes:

    Arnd> Hi, I am following this mailing list for a while now and
    Arnd> considering to convert to matplotlib at some point.  Whether
    Arnd> this is feasable depends on the following two points:

    Arnd> 1) I would like to know if there is an equivalent to the
    Arnd> scipy.xplt.mouse command which (in its simplest form) waits
    Arnd> for a mouse click and returns its coordinates:

    Arnd> Example: #------------------------------------- from
    Arnd> scipy.xplt import * x=arange(0.0,1.0,0.1) plg(x*x,x)
    Arnd> m=mouse(1,-1,"click with the mouse") print "x,y=",m[0],m[1]
    Arnd> #-------------------------------------


    Arnd>    John's reply
    Arnd> http://mail.python.org/pipermail/python-list/2004-April/216550.html
    Arnd> shows that it is possible to connect mouse events with
    Arnd> functions.  However, that code depends on the back-end and
    Arnd> is not as short as the above one (though more flexible, of
    Arnd> course ;-).

For some time, we've provided basic cross GUI event handling with the
canvas.connect method.  Todd Miller had the idea to port the gtk
connect interface to Tk.  For example, the demo coords_demo.py runs
unchanged on TkAgg and GTKAgg.  This is only a partial implementation,
and in CVS I've extended it a bit more.  The new method is called
mpl_connect, and you will be able to do, across GUIs, calls like

def on_move(event):
    # get the x and y coords
    x, y = event.x, event.y
    ...snip...

canvas.mpl_connect('motion_notify_event', on_move)


I plan to provide the motion notify, on click, and key press events,
and provide some extra positional information in the events, namely
canvas coordinate location and axes coordinate location.  The backend
will handle things like flipy so the script can ignore it.  I'm in the
process of designing a better toolbar and am using this cross-GUI
event handling to minimize the burden of implementing the toolbar in
the various backends.

In order to do something like the 

  m = mouse(1,-1,"click with the mouse") 
  print "x,y=",m[0],m[1]

example, it would be necessary to implement some cross gui blocking
capability, so that the execution of the script is halted until the
block is removed.  I don't see this as a major problem, but will
require some input from people with experience on the not-GTK GUIs.
It's probably not be necessary, though, since it's only a few more
keystrokes to do

def on_click(event): print 'x, y =', event.x, event.y
canvas.mpl_connect(''button_press_event', on_click)


This should be ready by the 0.61 release.  BTW, as a wx expert,
perhaps you have a code snippet I can use which calls the event
Connect and Disconnect methods directly.  I'm currently trying to
figure this out for the wx implementation of mpl_connect and
mpl_disconnect.

    Arnd> 2) For one set of applications I would like to be able to
    Arnd> plot several times 1000 points (or more).  Optimally would
    Arnd> be to plot one point after another to get a dynamical
    Arnd> impression.  In the application I have in mind there would
    Arnd> be no need to store these points (ie zooming is not
    Arnd> necessary) which normally degrades performance.  Presently
    Arnd> for me the solution for this type of things is our
    Arnd> PlottingCanvas for wxPython, see
    Arnd> http://www.physik.tu-dresden.de/~baecker/python/plot.html
    Arnd> and there the StandardMap.py example.

There is a lot of interest in making dynamical plotting more
efficient.  Currently, the entire figure is redrawn with each frame
update, which is clearly not ideal for dynamic figures in which only a
portion needs to be redrawn.  I'm interested in making some changes to
better support "real time" data acquisition, where the quotes mean
"fast enough to handle most use cases".

My current thought is to support drawing to subsections of the agg
canvas, eg, so that a single axes, line or patch could be updated
without updating the entire figure canvas.  To support this, each
object would need to know it's rectangular extent (done), take a
snapshot of the background canvas before drawing (to be done) and know
how to render itself to canvas (done).  In addition, agg and the
backends would need to be extended to allow drawing of subregions of
the canvas, which should be fairly easy.  By calling the right
combination of store_background, draw and erase, you could get much
faster dynamic plots.

The current implementation (redrawing the entire figure) is pretty
fast on a fast machine, but needs to be faster.

How do you do this in PlottingCanvas?  Do simply add objects to the
canvas and redraw the entire canvas if you need to remove an object,
or do you support selective erasing and removal of objects?

JDH

Re: [Matplotlib-users] Widgets

[Stephen W. <ste...@cs...>]

On Mon, 2004-07-19 at 08:24, John Hunter wrote:
> >>>>> "GStephen" == Stephen Walton <ste...@cs...> writes:
>
>     GStephen> I am not seeing the redraw or close widgets on
>     GStephen> the plot windows I produce. 
> 
> Your post says you are a new user but the content suggests you've used
> matplotlib before.

I have played with version 0.50 a bit before, but I asked about the
"missing" widgets because they're still in the online tutorial.  Plus, I
had thought the redraw button would be a convenient way to reset a plot
to its default after zooming and/or scrolling in one or the other axis. 
This last function is one I actually need, but I was unable to see
anywhere in the documentation how it might be done.

> As for the FC1 [compile] problem,

This turned out to be SOE (Stupid Operator Error).  I didn't have the
tk-devel and tcl-devel packages installed.  Unfortunately the lack of
tk.h and/or tcl.h causes so many error messages in the compile that the
line complaining about their lack is easy to miss.  Not a matplotlib
problem, I hasten to add.

Thanks for the responses.

Re: [Matplotlib-users] text rotation and mathtext

[John H. <jdh...@ac...>]

>>>>> "Darren" == Darren Dale <dd...@co...> writes:

    Darren> Can text created with mathtext can be rotated? I am trying
    Darren> to label a y axis like y = ylabel(r'$rm{Temperature}
    Darren> (^\circ C)$') and y.set_rotation() does not respond to
    Darren> 'horizontal' or 'vertical' settings.


Vertical rotation is not supported yet.  I adjust the alignment args
so at least the horizontal ylabels are in the right place

  ylabel(r'$\Delta_{i+1}$', fontsize='x-large',
         verticalalignment='center',
         horizontalalignment='right',
         rotation='horizontal'
         )

The good news is that Jim Benson just sent me a patch to support
vertical mathtext in *Agg, which will be included in the next release.

Cheers,
JDH

Re: [Matplotlib-users] Apache, PHP, Python, Numarray, and Matplotlib (sound fun?)

[John H. <jdh...@ac...>]

>>>>> "Jonathan" == Jonathan Hanson <ha...@ph...> writes:

  > [Fri Jul 16 16:30:30 2004] [error]
  > [Fri Jul 16 16:30:30 2004] [error]  from backend_gtkagg import
  >    error_msg, draw_if_interactive, show, new_figure_manager

Here is your problem - a web app server should not be using gtkagg
(this is a GUI interface). You should be using Agg (which doesn't
require X11, a DISPLAY var etc).

You can either set backend : Agg to be your default backend in
matplotlib rrc - http://matplotlib.sf.net/.matplotlibrc or do the
following at the top of your script (before importing
matplotlib.matlab)

import matplotlib
matplotlib.use('Agg')
from matplotlib.matlab import ....  whatever you usually do


Should work...
JDH

Re: [Matplotlib-users] saving image files with *Agg backends

[John H. <jdh...@ac...>]

>>>>> "Darren" == Darren Dale <dd...@co...> writes:

    Darren> Hi Everyone, I'm having trouble saving plot images with
    Darren> the *Agg backends. I've tried TkAgg, GTKAgg, WXAgg, and
    Darren> get the following error message (here for WXAgg):

    Darren> Do not know how to handle extension *.jpg 14:48:54 Debug
    Darren> e:\Projects\wx2.4\src\msw\app.cpp(439):
    Darren> 'UnregisterClass(canvas)' failed with error 0x00000584
    Darren> (class still has open windows)

    Darren> WX and GTK backends work. I'm using the precompiled 0.60.2
    Darren> version of Matplotlib (congratulations on the new
    Darren> release), python 2.3.4, windows XP. I'm calling my program
    Darren> from a DOS prompt to get the error messages, working in
    Darren> non-interactive mode and trying to save the image using
    Darren> the save-button widget.

The agg backend can only save png, ps, eps, and svg.  jpeg is
available from backend_wx and backend_gtk.  Personally, I've never
encountered a figure for which jpeg was a better output format than
png, which is why I haven't worked to provide a jpeg output to agg,
but it would be a good thing to add, at some point.

Cheers,
JDH

Re: [Matplotlib-users] Widgets

[John H. <jdh...@ac...>]

>>>>> "GStephen" == Stephen Walton <ste...@cs...> writes:

    GStephen> As a new user of matplotlib, I'm surprised I haven't
    GStephen> seen this mentioned, offhand, in the mailing list
    GStephen> archive.  I am not seeing the redraw or close widgets on
    GStephen> the plot windows I produce.  The platform is Fedora Core
    GStephen> 1, although I built on RHEL3 because matplotlib-0.60-2
    GStephen> won't build on FC1 (some problem with tk-devel,
    GStephen> apparently).

Your post says you are a new user but the content suggests you've used
matplotlib before.  In early versions there was both a redraw button
and a close button.  The former was there because sometimes the figure
would get into an inconsistent state (after exposes, or resizes for
example) but these problems were fixed and I no longer saw a need for
it.  The close button was dropped after Steve Chaplin pointed me to
some user interface design guidelines that argued close buttons should
never be placed on toolbars.  So it is by design that these are
missing.  Is this a problem for you?

As for the FC1 problem, perhaps Fernando Perez can comment - I
believe he has used matplotlib with FC1.  I have no experience here.

JDH

[Matplotlib-users] mouse events and plotting many points dynamically

[Arnd B. <arn...@we...>]

Hi,

I am following this mailing list for a while now
and considering to convert to matplotlib at some point.
Whether this is feasable depends on the following two points:

1) I would like to know if there is an equivalent to the
   scipy.xplt.mouse command which (in its simplest form)
   waits for a mouse click and returns its coordinates:

Example:
#-------------------------------------
from scipy.xplt import *
x=arange(0.0,1.0,0.1)
plg(x*x,x)
m=mouse(1,-1,"click with the mouse")
print "x,y=",m[0],m[1]
#-------------------------------------


   John's reply
     http://mail.python.org/pipermail/python-list/2004-April/216550.html
   shows that it is possible to connect mouse events with functions.
   However, that code depends on the back-end and is not as
   short as the above one (though more flexible, of course ;-).

2) For one set of applications I would like to be able to plot
   several times 1000 points (or more).
   Optimally would be to plot one point after another
   to get a dynamical impression.
   In the application I have in mind there would be no
   need to store these points (ie zooming is not necessary)
   which normally degrades performance.
   Presently for me the solution for this type of things
   is our PlottingCanvas for wxPython, see
      http://www.physik.tu-dresden.de/~baecker/python/plot.html
   and there the StandardMap.py example.

   (this is not to advertise this, but just that you
    get an idea of what I have in mind.
    In the code there are couple of tricks to speed things up).

   In the end I would be happy to dump our PlottingCanvas
   in favour of matplotlib!

Best,

Arnd

Re: [Matplotlib-users] debian

[Malte M. <Mal...@cs...>]

I have sarge (with a few unstable bits and pieces)
It 'shouldn't' be dependent on "unstable".

You can always see what extra libs it wants and decide then if you wnat 
it or not.

Cheers,
Malte.

Arnd Baecker wrote:

>
>
>Before I screw up my installation ;-)
>  - did anyone successfully use these on sarge (debian testing)?
>  - and/or are there deb's available for sarge?
>
>Many thanks,
>
>Arnd
>  
>

Re: [Matplotlib-users] debian

[Arnd B. <arn...@we...>]

Hi,

On Mon, 19 Jul 2004, Malte Marquarding wrote:

> I installed it from
>
> http://mentors.debian.net
> the other day.
>
> The debian  package is:
>
> python-matplotlib
>
> It is version 0.60.2
>
> 'apt-cache search matplotlib'  should give you the names of all the
> relevant matplotlib packages if you don't know them.
>
> Cheers,
> Malte

Before I screw up my installation ;-)
  - did anyone successfully use these on sarge (debian testing)?
  - and/or are there deb's available for sarge?

Many thanks,

Arnd

Re: [Matplotlib-users] debian

[Malte M. <Mal...@cs...>]

I installed it from

http://mentors.debian.net
the other day.

The debian  package is:

python-matplotlib

It is version 0.60.2

'apt-cache search matplotlib'  should give you the names of all the 
relevant matplotlib packages if you don't know them.

Cheers,
Malte

John Hunter wrote:

>    Charles> I can't see the matplotlib package with "apt-get".  I
>    Charles> have these lines in my sources.list and I've rerun
>    Charles> "apt-get update".
>
>    Charles> # Matplotlib deb http://mentors.debian.net/debian
>    Charles> unstable main contrib non-free deb-src
>    Charles> http://mentors.debian.net/debian unstable main contrib
>    Charles> non-free
>
>    Charles> I can see matplotlib-doc, but not matplotlib. Any ideas?
>
>Hi Charles, I think messages about the debian distribution should be
>sent to the devel list; I'm not sure Vittorio reads the users list.
>I've CCd him on this email.
>
>Cheers,
>JDH
>

Re: [Matplotlib-users] saving image files with *Agg backends

[Stephen W. <ste...@cs...>]

On Fri, 2004-07-16 at 12:04, Darren Dale wrote:
> Hi Everyone,
> 
> I'm having trouble saving plot images with the *Agg backends. I've tried 
> TkAgg, GTKAgg, WXAgg, and get the following error message (here for WXAgg):
> 
> Do not know how to handle extension *.jpg

I see the same problem under Fedora Core 1.  If one doesn't specify an
extension, the saved image is of type PNG, which is fine.  But
specifying a .jpg extension to get a JPEG doesn't work with the Agg
backends.

[Matplotlib-users] text rotation and mathtext

[Darren D. <dd...@co...>]

Can text created with mathtext can be rotated? I am trying to label a y 
axis like
y = ylabel(r'$rm{Temperature} (^\circ C)$')
and y.set_rotation() does not respond to 'horizontal' or 'vertical' 
settings.

Darren

-- 
Darren S. Dale
dd...@co...

PGP public key available

[Matplotlib-users] Apache, PHP, Python, Numarray, and Matplotlib (sound fun?)

[Jonathan H. <ha...@ph...>]

I've had a recurring issue for about 5 days now.

I am running a Fedora Core 2 linux box, which has just been freshly 
formatted and rebuilt.
I am running Apache as my webserver.
I did clean installs of numarray 1.0 and matplotlib 0.60.2 from source, 
and they both installed cleanly and completely.  The only config I did 
was in the matplotlib setup.py file, I changed the numerix setting to 
numarray instead of numeric.
Both packages test out just fine from the command-line python interface.

I am trying to use PHP  to call a Python script, which will in turn 
render some images for display by the PHP web page.  The python script 
runs just fine as a regular user; the plots come out to the proper 
directory just as they should.  But simply calling
  from matplotlib.matlab import *
at the head of the script leads to errors when the script is called by 
PHP instead.  Commenting out this import and any matplotlib function 
calls allows the PHP script to conclude cleanly (but of course without 
the desired result).

Here is  a snippet from apache's logfile, from one try-through of the 
php script.

[Fri Jul 16 16:30:28 2004] [error]  Numeric import failed... trying 
numarray.
[Fri Jul 16 16:30:28 2004] [error]
[Fri Jul 16 16:30:30 2004] [error]  Traceback (most recent call last):
[Fri Jul 16 16:30:30 2004] [error]    File 
"/httpd/cgi-bin/Webplots/Devel/plotdata.py", line 13, in ?
[Fri Jul 16 16:30:30 2004] [error]
[Fri Jul 16 16:30:30 2004] [error]  from matplotlib.matlab import *
[Fri Jul 16 16:30:30 2004] [error]    File 
"/usr/lib/python2.3/site-packages/matplotlib/matlab.py", line 143, in ?
[Fri Jul 16 16:30:30 2004] [error]
[Fri Jul 16 16:30:30 2004] [error]  from backends import 
new_figure_manager, error_msg, \\
[Fri Jul 16 16:30:30 2004] [error]    File 
"/usr/lib/python2.3/site-packages/matplotlib/backends/__init__.py", line 
26, in ?
[Fri Jul 16 16:30:30 2004] [error]
[Fri Jul 16 16:30:30 2004] [error]  from backend_gtkagg import 
error_msg, draw_if_interactive, show, new_figure_manager
[Fri Jul 16 16:30:30 2004] [error]    File 
"/usr/lib/python2.3/site-packages/matplotlib/backends/backend_gtkagg.py", 
line 12, in ?
[Fri Jul 16 16:30:30 2004] [error]
[Fri Jul 16 16:30:30 2004] [error]  from backend_gtk import gtk, 
FigureManagerGTK, FigureCanvasGTK,\\
[Fri Jul 16 16:30:30 2004] [error]    File 
"/usr/lib/python2.3/site-packages/matplotlib/backends/backend_gtk.py", 
line 21, in ?
[Fri Jul 16 16:30:30 2004] [error]
[Fri Jul 16 16:30:30 2004] [error]  import gtk
[Fri Jul 16 16:30:30 2004] [error]    File 
"/usr/src/build/375621-i386/install/usr/lib/python2.3/site-packages/gtk-2.0/gtk/__init__.py", 
line 43, in ?
[Fri Jul 16 16:30:30 2004] [error]  RuntimeError
[Fri Jul 16 16:30:30 2004] [error]  :
[Fri Jul 16 16:30:30 2004] [error]  could not open display
[Fri Jul 16 16:30:30 2004] [error]
[Fri Jul 16 16:30:30 2004] [error]  Premature end of script headers: 
plotdata.py

I have no idea what that is all about.

I had a problem earlier with the ttf something something cache file that 
is generated on the first use by each user.  Evidently, since Apache 
doesn't have a home directory, and doesn't have permissions to use 
/usr/share/matplotlib/ it was getting a permission denial when it tried 
to create that cache file.  I changed the permissions of that directory 
temporarily to 777, ran the PHP script, and the whole thing got a little 
bit further before crapping out (as seen above).

Trying to run the script directly as a cgi execution results in 
identical errors.  So the issue is not in PHP.

So If anyone can lead me toward a solution here, I would be much 
obliged.  Also, if anyone can tell me a more elegant fix for the 
permissions issue above, that would be nice too.  I don't like leaving 
777 permissions on system files like that.

This package looks like it could be a really great on-the-fly plot 
generator for web applications, if we can iron out all the config 
wrinkles.  Thanks everyone for your time and patience on this big post.  
Good Luck!
 - Jonathan Hanson
   Department of Physics and Astronomy
   Louisiana State University

[Matplotlib-users] saving image files with *Agg backends

[Darren D. <dd...@co...>]

Hi Everyone,

I'm having trouble saving plot images with the *Agg backends. I've tried 
TkAgg, GTKAgg, WXAgg, and get the following error message (here for WXAgg):

Do not know how to handle extension *.jpg
14:48:54 Debug e:\Projects\wx2.4\src\msw\app.cpp(439): 
'UnregisterClass(canvas)' failed with error 0x00000584 (class still has 
open windows)

WX and GTK backends work. I'm using the precompiled 0.60.2 version of 
Matplotlib (congratulations on the new release), python 2.3.4, windows 
XP. I'm calling my program from a DOS prompt to get the error messages, 
working in non-interactive mode and trying to save the image using the 
save-button widget.

Any suggestions?

Thanks,
Darren

-- 
Darren S. Dale
dd...@co...

PGP public key available

Re: Re: [Matplotlib-users] Mathtext doesn't work on the PS backend

[Serge B. <se...@op...>]

Paul Barrett wrote:
>What version of matplotlib are you using?  Versions earlier than 0.60.2 
>may not work.

Sorry, I should have mentionned that: it was the latest version, 0.60.2

>I just uploaded improved TrueType Font (TTF) support for PS last night, 
>so the version on CVS should fix this. Please give it a try and let me 
>know if you have any problems.

The CVS version works perfectly, thank you very much! ...and congratulations for fixing the problem before it even got reported :)

Serge