matplotlib-users Mailing List for matplotlib

Hi,

when I create a contour plot with the following grid:
   xval = [ 1.00003324,  1.00009971,  1.00016618]
   yval = [250, 260, 270]
   data = ones((3,3))
   contourf(xval, yval, data)

matplotlib creates a contour plot with an x-axes labels of  
"0.0000324", ... and adds a "+1" in the lower right corner.
Actually, it is often not visible at all.

How can I set it to always use the "correct" values directly as labels?

Greetings,
Jochen
-- 
Fritz-Haber-Institut der MPG -- Department of Molecular Physics
Faradayweg 4-6 (C1.03)
D-14195 Berlin, Germany

phone: +49-30-84135686
fax:   +49-30-84135892
http://www.fhi-berlin.mpg.de/mp/jochen

there's been some discussion on this, (I think).  If by backend control,
you mean greater degree of control over the event loop, there are a
number of approaches available.

For example, look through the threads at how twisted can be integrated
with ipython0... ipython1 embraces asynchronous handling at its core,
making gui interaction even more straightforward.

Recently, in ancicipation of ipython1, but still providing current
usability, I simply nail up the twisted qtreactor -
http://code.tarbox.org/qtreactor inside ipython0 and have control over
comms, gui event handling and still am able to use matplotlib...

the primary difficulty, temporary I believe, is that if pyreadline grabs
the event loop, everything hangs... so, if there is a multi-page scroll
or, if you start typing and stop before hitting return, everything
hangs...

I think one might be able to use the multi-threaded ipython approach but
I try to stay away from threading due to the difficulties it creates
with components which aren't thread safe... like twisted and many gui
support libs.

but, ipython1 progress continues and should make issues like this simply
go away

-glenn

On Fri, 2008-04-04 at 12:44 -0400, Alan G Isaac wrote:
> >> On Wed, 2 Apr 2008, Wolfgang Kerzendorf wrote:
> >>> If I plot something with pylab.plot and then 
> >>> pylab.show the first time. 
> 
> > Alan replied:
> >> http://matplotlib.sourceforge.net/faq.html#SHOW 
> >> http://matplotlib.sourceforge.net/faq.html#OO 
> 
> On Fri, 4 Apr 2008, Wolfgang Kerzendorf apparently wrote:
> > I have read these faq entries before, but they don't really resolve my 
> > issue. I want backend independent control over the plots. My question 
> > is, does that exist in matplotlib, or do I have to embed 
> > matplotlib in a backend to get more control? 
> 
> What kind of control do you mean?
> To quote from
> http://matplotlib.sourceforge.net/backends.html:
> 
>        The matplotlib core graphics routines interact with
>        an abstract renderer and graphics context to allow
>        device independent ouput. Currently, output to pygtk,
>        wxPython, Tkinter, postscript, pdf, svg, agg
>        (antigrain geometry) and Cairo are supported. With
>        not too much effort, you can port matplotlib to your
>        favorite display. If you are interested in porting to
>        one of these platforms, please contact the
>        matplotlib-devel mailing list.
> 
> If you are additionally hoping for an abstraction of the
> GUI, I do not think Matplotlib offers such a thing.  Indeed, 
> I would find such an effort very surprising.  (But I'm just 
> a user.)
> 
> Maybe a very specific example of what you are doing would
> help.
> 
> Cheers,
> Alan
> 
> 
> 
> 
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>> On Wed, 2 Apr 2008, Wolfgang Kerzendorf wrote:
>>> If I plot something with pylab.plot and then 
>>> pylab.show the first time. 

> Alan replied:
>> http://matplotlib.sourceforge.net/faq.html#SHOW 
>> http://matplotlib.sourceforge.net/faq.html#OO 

On Fri, 4 Apr 2008, Wolfgang Kerzendorf apparently wrote:
> I have read these faq entries before, but they don't really resolve my 
> issue. I want backend independent control over the plots. My question 
> is, does that exist in matplotlib, or do I have to embed 
> matplotlib in a backend to get more control? 

What kind of control do you mean?
To quote from
http://matplotlib.sourceforge.net/backends.html:

       The matplotlib core graphics routines interact with
       an abstract renderer and graphics context to allow
       device independent ouput. Currently, output to pygtk,
       wxPython, Tkinter, postscript, pdf, svg, agg
       (antigrain geometry) and Cairo are supported. With
       not too much effort, you can port matplotlib to your
       favorite display. If you are interested in porting to
       one of these platforms, please contact the
       matplotlib-devel mailing list.

If you are additionally hoping for an abstraction of the
GUI, I do not think Matplotlib offers such a thing.  Indeed, 
I would find such an effort very surprising.  (But I'm just 
a user.)

Maybe a very specific example of what you are doing would
help.

Cheers,
Alan

On Thu, 03 Apr 2008, KURT PETERS apparently wrote:
> how would one use a GUI event handler/timer? 

<URL:http://matplotlib.sourceforge.net/tutorial.html>
(near the bottom)

hth,
Alan 

On 4/4/08, fri...@gm... <fri...@gm...> wrote:
> Dear all,
>
>  I would like to plot two different data series against a common
>  time-series, e.g. dataset 1 is the precipitation data around a year at
>  City 1, and dataset 2 is the precipitation of the same year taken at
>  City 2. They share a common x-axis. My goal is to draw the two lines
>  in the same subplot so that the different climate profile of the two
>  cities can be directly visualized. However, the current version of the
>  plot_date() method doesn't seem to support multiple lines in the same
>  subplot. What should I do?
>
>  Thanks for your comments.
>
>  Cong.
>


I'm sorry but I think I made a mistake. I tried calling the
plot_date() method two times with different data and it worked.

Dear all,

I would like to plot two different data series against a common
time-series, e.g. dataset 1 is the precipitation data around a year at
City 1, and dataset 2 is the precipitation of the same year taken at
City 2. They share a common x-axis. My goal is to draw the two lines
in the same subplot so that the different climate profile of the two
cities can be directly visualized. However, the current version of the
plot_date() method doesn't seem to support multiple lines in the same
subplot. What should I do?

Thanks for your comments.

Cong.