matplotlib-users Mailing List for matplotlib (Page 2)

Dears, I was wondering if I can use a custom colortable in a
histogram, to get something like this:

http://grass.itc.it/grass64/manuals/html64_user/r_surf_gauss_hist.png

thanks



-- 
Carlos Henrique Grohmann - Geologist D.Sc.
a.k.a. Guano - Linux User #89721
ResearcherID: A-9030-2008
carlos dot grohmann at gmail dot com
http://www.igc.usp.br/pessoais/guano/
_________________
"Good morning, doctors. I have taken the liberty of removing Windows
95 from my hard drive."
--The winning entry in a "What were HAL's first words" contest judged
by 2001: A SPACE ODYSSEY creator Arthur C. Clarke

Can’t stop the signal.

On Wed, May 6, 2009 at 9:49 AM, Sebastian Pająk <spc...@gm...> wrote:
> Hello
>
> How can I set decade on log x axis to be equal length to decade on log
> y axis (physically)?
>
> If I make:
>
> ax.set_xscale("log")
> ax.set_yscale("log")
> ax.set_aspect(1)
>
> I get it all wrong, the units are equal, not decades!!
>
> I need the same effect as I get in Gnuplot - the square decades:
>
> set logscale yx;
> set size ratio -1;
>
> How can I do it in matplotlib?
>


I'm afraid that this is not directly supported by the matplotlib,
although I think it should.
However, you can do it with some monkey patching (or with some other
similar way).


import math

def get_data_ratio(self):
    xmin,xmax = self.get_xbound()
    ymin,ymax = self.get_ybound()

    if self.get_xscale() == "log" and self.get_yscale() == "log":
        xsize = max(math.fabs(math.log10(xmax)-math.log10(xmin)), 1e-30)
        ysize = max(math.fabs(math.log10(ymax)-math.log10(ymin)), 1e-30)
    else:
        xsize = max(math.fabs(xmax-xmin), 1e-30)
        ysize = max(math.fabs(ymax-ymin), 1e-30)

    return ysize/xsize

from matplotlib.axes import Axes
Axes.get_data_ratio = get_data_ratio


ax = gca()

ax.set_xscale("log")
ax.set_yscale("log")
ax.set_aspect(1.)

ax.set_xlim(1, 100)
ax.set_ylim(1, 1000)



John and others,
How do you think this being a default behavior?

Regards,

-JJ



> ------------------------------------------------------------------------------
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>

Hello,

The following code should produce identical plots, but in the second  
case the alpha value is ignored:

---

import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as mpl
from matplotlib.patches import Ellipse
from matplotlib.collections import PatchCollection

fig = mpl.figure()
ax = fig.add_subplot(111)
ax.add_patch(Ellipse((0.5,0.5),0.7,0.3,angle=30,alpha=0.3))
fig.savefig('test1.png')

fig = mpl.figure()
ax = fig.add_subplot(111)
ax.add_collection(PatchCollection([Ellipse((0.5,0.5), 
0.7,0.3,angle=30,alpha=0.3)],match_original=True))
fig.savefig('test2.png

---

Is this a bug? I'm using the latest svn version of matplotlib.

Thanks,

Thomas

Hi Mike,

Thanks for pointing this out - I hadn't noticed the offsets argument.  
I'll try it out!

Cheers,

Tom

On May 6, 2009, at 10:39 AM, Michael Droettboom wrote:

> "offsets" is intended to work for this.  Is it broken?
>
> Cheers,
> Mike
>
> Thomas Robitaille wrote:
>> Hi,
>>
>> I noticed that it's not possible to specify the position of the   
>> ellipses in an EllipseCollection:
>>
>> http://matplotlib.sourceforge.net/api/collections_api.html?highlight=ellipsecollection#matplotlib.collections.EllipseCollection
>>
>> Of course, I can just create a collection of individual Ellipse   
>> patches, but was just wondering whether the lack of an xy argument  
>> to  EllipseCollection was an oversight?
>>
>> Thanks,
>>
>> Thomas
>>
>> ------------------------------------------------------------------------------
>> The NEW KODAK i700 Series Scanners deliver under ANY circumstances!  
>> Your
>> production scanning environment may not be a perfect world - but  
>> thanks to
>> Kodak, there's a perfect scanner to get the job done! With the NEW  
>> KODAK i700
>> Series Scanner you'll get full speed at 300 dpi even with all image  
>> processing features enabled. http://p.sf.net/sfu/kodak-com
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>
> -- 
> Michael Droettboom
> Science Software Branch
> Operations and Engineering Division
> Space Telescope Science Institute
> Operated by AURA for NASA
>

"offsets" is intended to work for this.  Is it broken?

Cheers,
Mike

Thomas Robitaille wrote:
> Hi,
>
> I noticed that it's not possible to specify the position of the  
> ellipses in an EllipseCollection:
>
> http://matplotlib.sourceforge.net/api/collections_api.html?highlight=ellipsecollection#matplotlib.collections.EllipseCollection
>
> Of course, I can just create a collection of individual Ellipse  
> patches, but was just wondering whether the lack of an xy argument to  
> EllipseCollection was an oversight?
>
> Thanks,
>
> Thomas
>
> ------------------------------------------------------------------------------
> The NEW KODAK i700 Series Scanners deliver under ANY circumstances! Your
> production scanning environment may not be a perfect world - but thanks to
> Kodak, there's a perfect scanner to get the job done! With the NEW KODAK i700
> Series Scanner you'll get full speed at 300 dpi even with all image 
> processing features enabled. http://p.sf.net/sfu/kodak-com
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>   

-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

Hi,

I noticed that it's not possible to specify the position of the  
ellipses in an EllipseCollection:

http://matplotlib.sourceforge.net/api/collections_api.html?highlight=ellipsecollection#matplotlib.collections.EllipseCollection

Of course, I can just create a collection of individual Ellipse  
patches, but was just wondering whether the lack of an xy argument to  
EllipseCollection was an oversight?

Thanks,

Thomas

Hello

How can I set decade on log x axis to be equal length to decade on log
y axis (physically)?

If I make:

ax.set_xscale("log")
ax.set_yscale("log")
ax.set_aspect(1)

I get it all wrong, the units are equal, not decades!!

I need the same effect as I get in Gnuplot - the square decades:

set logscale yx;
set size ratio -1;

How can I do it in matplotlib?

william ratcliff wrote:
> I'd like to see it ;>

Here you are...

r.

Ryan May wrote:
> On Wed, May 6, 2009 at 7:57 AM, Robert Cimrman <cim...@nt...> wrote:
>>
>> Just for the record: Ryan May's example in this thread, that uses pipes,
>> inspired me to try pipes as well, instead of queues
>> (multiprocessing.Pipe instead of Queue) and the "hanging problem", i.e.
>> the problem that Ctrl-C interrupted the program, but it had to be killed
>> to stop, disappeared. I can fix the script that I sent in message [1]
>> and provide it, if there is interest. (Currently I have fixed only the
>> version that is within sfepy).
> 
> 
> I know I'd be interested.  With your permission, it might make a nice
> example as well.

Permission granted :) I have sent the script in response to William.

r.

I'd like to see it ;>

On Wed, May 6, 2009 at 8:57 AM, Robert Cimrman <cim...@nt...> wrote:

> Robert Cimrman wrote:
> > Hi Ryan,
> >
> > Ryan May wrote:
> >> On Thu, Apr 23, 2009 at 4:16 PM, Esmail <eb...@ho...> wrote:
> >>
> >>> Ryan May wrote:
> >>>> Try this:
> >>>>
> >>>>
> >>>
> http://matplotlib.sourceforge.net/examples/animation/simple_anim_gtk.html
> >>>> (If not gtk, there are other examples there.)
> >>> Thanks Ryan, that'll give me some idea with regard to the animation,
> >>> and real-time drawings.
> >>>
> >>> Any idea if it's possible to finish a Python program but still have the
> >>> graph showing?
> >>>
> >>> FWIW, I'm doing this under Linux.
> >>>
> >> You'd have to run the plotting in a separate process from the
> computation.
> >> subprocess would let you do that, assuming you can spin off a child task
> >> that stays alive when the parent exits.  You'd also need to get the
> >> computing process to give new results to the child plot, maybe using a
> pipe
> >> (which I think subprocess can handle as well.)
> >
> > This is exactly what I have tried/described in [1], using the
> > multiprocessing module. It sort of works, but I have that hanging
> > problem at the end - maybe somebody jumps in and helps this time :)
> >
> > r.
> >
> > [1]
> >
> http://www.mail-archive.com/mat...@li.../msg10873.html
>
> Just for the record: Ryan May's example in this thread, that uses pipes,
> inspired me to try pipes as well, instead of queues
> (multiprocessing.Pipe instead of Queue) and the "hanging problem", i.e.
> the problem that Ctrl-C interrupted the program, but it had to be killed
> to stop, disappeared. I can fix the script that I sent in message [1]
> and provide it, if there is interest. (Currently I have fixed only the
> version that is within sfepy).
>
> thanks!
> r.
>
> [1] [Matplotlib-users] plotting in a separate process, 31.03.2009
>
>
> ------------------------------------------------------------------------------
> The NEW KODAK i700 Series Scanners deliver under ANY circumstances! Your
> production scanning environment may not be a perfect world - but thanks to
> Kodak, there's a perfect scanner to get the job done! With the NEW KODAK
> i700
> Series Scanner you'll get full speed at 300 dpi even with all image
> processing features enabled. http://p.sf.net/sfu/kodak-com
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

On Wed, May 6, 2009 at 7:57 AM, Robert Cimrman <cim...@nt...> wrote:

> Robert Cimrman wrote:
> > Hi Ryan,
> >
> > Ryan May wrote:
> >> On Thu, Apr 23, 2009 at 4:16 PM, Esmail <eb...@ho...> wrote:
> >>
> >>> Ryan May wrote:
> >>>> Try this:
> >>>>
> >>>>
> >>>
> http://matplotlib.sourceforge.net/examples/animation/simple_anim_gtk.html
> >>>> (If not gtk, there are other examples there.)
> >>> Thanks Ryan, that'll give me some idea with regard to the animation,
> >>> and real-time drawings.
> >>>
> >>> Any idea if it's possible to finish a Python program but still have the
> >>> graph showing?
> >>>
> >>> FWIW, I'm doing this under Linux.
> >>>
> >> You'd have to run the plotting in a separate process from the
> computation.
> >> subprocess would let you do that, assuming you can spin off a child task
> >> that stays alive when the parent exits.  You'd also need to get the
> >> computing process to give new results to the child plot, maybe using a
> pipe
> >> (which I think subprocess can handle as well.)
> >
> > This is exactly what I have tried/described in [1], using the
> > multiprocessing module. It sort of works, but I have that hanging
> > problem at the end - maybe somebody jumps in and helps this time :)
> >
> > r.
> >
> > [1]
> >
> http://www.mail-archive.com/mat...@li.../msg10873.html
>
> Just for the record: Ryan May's example in this thread, that uses pipes,
> inspired me to try pipes as well, instead of queues
> (multiprocessing.Pipe instead of Queue) and the "hanging problem", i.e.
> the problem that Ctrl-C interrupted the program, but it had to be killed
> to stop, disappeared. I can fix the script that I sent in message [1]
> and provide it, if there is interest. (Currently I have fixed only the
> version that is within sfepy).


I know I'd be interested.  With your permission, it might make a nice
example as well.

Ryan

-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
Sent from Norman, Oklahoma, United States

Robert Cimrman wrote:
> Hi Ryan,
> 
> Ryan May wrote:
>> On Thu, Apr 23, 2009 at 4:16 PM, Esmail <eb...@ho...> wrote:
>>
>>> Ryan May wrote:
>>>> Try this:
>>>>
>>>>
>>> http://matplotlib.sourceforge.net/examples/animation/simple_anim_gtk.html
>>>> (If not gtk, there are other examples there.)
>>> Thanks Ryan, that'll give me some idea with regard to the animation,
>>> and real-time drawings.
>>>
>>> Any idea if it's possible to finish a Python program but still have the
>>> graph showing?
>>>
>>> FWIW, I'm doing this under Linux.
>>>
>> You'd have to run the plotting in a separate process from the computation.
>> subprocess would let you do that, assuming you can spin off a child task
>> that stays alive when the parent exits.  You'd also need to get the
>> computing process to give new results to the child plot, maybe using a pipe
>> (which I think subprocess can handle as well.)
> 
> This is exactly what I have tried/described in [1], using the 
> multiprocessing module. It sort of works, but I have that hanging 
> problem at the end - maybe somebody jumps in and helps this time :)
> 
> r.
> 
> [1] 
> http://www.mail-archive.com/mat...@li.../msg10873.html

Just for the record: Ryan May's example in this thread, that uses pipes, 
inspired me to try pipes as well, instead of queues 
(multiprocessing.Pipe instead of Queue) and the "hanging problem", i.e. 
the problem that Ctrl-C interrupted the program, but it had to be killed 
to stop, disappeared. I can fix the script that I sent in message [1] 
and provide it, if there is interest. (Currently I have fixed only the 
version that is within sfepy).

thanks!
r.

[1] [Matplotlib-users] plotting in a separate process, 31.03.2009