matplotlib-users Mailing List for matplotlib

Thanks Tony. This is actually a brand new Python installation. I am running
on 64-bit Windows 7, with Enthought's EPD 7.2.2 (also 64-bit). I tried
testing various code snippets again and found that when I run my code,
subsequent gallery examples (that call colorbar()) fail. When I run the
gallery examples first they work as expected, but my code still fails in the
same place. Hmmm.... 

-----
Josh Hemann


-- 
View this message in context: http://old.nabble.com/colorbar.py-bug-in-matplotlib-1.1.0--tp33203387p33204535.html
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On Wed, Jan 25, 2012 at 2:42 PM, Josh Hemann <jh...@sp...>wrote:

> I have some code that has worked in matplotlib versions 0.99 and 1.0.1.
> Recently, I updated to 1.1.0 and my code broke, specifically in a call to
> colorbar(). I tried running this gallery example<http://matplotlib.sourceforge.net/examples/pylab_examples/colorbar_tick_labelling_demo.html>and get the same error. Here is the snippet: The
> error results from the first call to colorbar in the example, which is cbar
> = fig.colorbar(cax, ticks=[-1, 0, 1]) My internet searches have not
> revealed anything yet. Has anyone seen or reported this issue? Any clean
> work-arounds?
> Josh Hemann
>
>
> Hi Josh,

Do you get the error with the gallery example, or some modified version of
it? The example runs fine on my system (but I'm on a more recent
development version).

Is there any chance that your installation got screwed up? How did you
upgrade?

-Tony

I have some code that has worked in matplotlib versions 0.99 and 1.0.1.
Recently, I updated to 1.1.0 and my code broke, specifically in a call to
colorbar(). I tried running 
http://matplotlib.sourceforge.net/examples/pylab_examples/colorbar_tick_labelling_demo.html
this gallery example  and get the same error. Here is the snippet:

http://old.nabble.com/file/p33203387/ScreenShot007.png 


The error results from the first call to colorbar in the example, which is 
      cbar = fig.colorbar(cax, ticks=[-1, 0, 1])

My internet searches have not revealed anything yet. Has anyone seen or
reported this issue? Any clean work-arounds?

-----
Josh Hemann


-- 
View this message in context: http://old.nabble.com/colorbar.py-bug-in-matplotlib-1.1.0--tp33203387p33203387.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Ethan Swint wrote:

> 
> 
> On 1/25/2012 1:32 PM, Neal Becker wrote:
>> I have a legend that is going to have some abbreviations to compactly
>> indicate
>> the properties of different lines in a graph.  I'd like to add a little 'key'
>> to
>> explain what the notation means.  Any suggestion?
> I was thinking of the annotate functionality, but on second thought, I
> think you are looking for something like
> http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.text
> 
> Regards,
> Ethan

Thanks.  Since the text is to explain the legend, I wanted to put it as part of 
the legend box - either above or below the rest of the legend.

On 1/25/2012 1:32 PM, Neal Becker wrote:
> I have a legend that is going to have some abbreviations to compactly indicate
> the properties of different lines in a graph.  I'd like to add a little 'key' to
> explain what the notation means.  Any suggestion?
I was thinking of the annotate functionality, but on second thought, I 
think you are looking for something like
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.text

Regards,
Ethan

I have a legend that is going to have some abbreviations to compactly indicate 
the properties of different lines in a graph.  I'd like to add a little 'key' to 
explain what the notation means.  Any suggestion?

http://matplotlib.sourceforge.net/examples/api/demo_affine_image_00.html

This link of the gallery example is broken (error 404). It corresponds
to the third example of the fourth row.

Hi,

I will be giving a matplotlib and a optimization tutorial
at PyCon in March.

So please point people to it who would like to have a compact
introduction to matplotlib.

The optimization tutorial gives an overview over this topic.

BTW, the early bird deadline is today.

Mike



Plotting with matplotlib
------------------------

Instructor: Mike Müller
Type:Tutorial
Audience level:Novice
Category:Useful libraries
March 8th 9 a.m. – 12:20 p.m.
https://us.pycon.org/2012/schedule/presentation/238/

When it comes to plotting with Python many people think about matplotlib. It is
widely used and provides a simple interface for creating a wide variety of
plots from very simple diagrams to sophisticated animations. This tutorial is a
hands-on introduction that teaches the basics of matplotlib. Students will
learn how to create publication-ready plots with just a few lines of Python.



Faster Python Programs through Optimization
-------------------------------------------

Instructor: Mike Müller
Type:Tutorial
Audience level:Experienced
Category:Best Practices/Patterns
March 7th 9 a.m. – 12:20 p.m.
https://us.pycon.org/2012/schedule/presentation/245/

This tutorial provides an overview of techniques to improve the performance of
Python programs. The focus is on concepts such as profiling, difference of data
structures and algorithms as well as a selection of tools and libraries that
help to speed up Python.

Since I use" twiny" the button on the menu which allow color changing, log
scale and so on, doesn't work.

Why? What can I do?

thx, Fabien

I always taylor a matplotlibrc file for a given project, but you can
modify the rc parameters on the fly:
http://matplotlib.sourceforge.net/users/customizing.html#dynamic-rc-settings

You need to set themodified rc parameters at the top of your script.
Hope that helps.
-paul



On Wed, Jan 25, 2012 at 4:29 AM, Martella, C. <cla...@vu...> wrote:
> hello list,
>
> I'm having quite a big number of subplots all together inside of the same figure, which pushes me to reduce the font size quite a lot to avoid overlap.
> I've been able to set quite everything, except of the ytickslabels:
>
> sp = fig.add_subplot(611, xlim=(10, 100))
> sp.set_title(my_title, fontsize='small')
> sp.set_xticklabels(('10', '15', '20', '30', '45', '60', '75', '90'), fontsize='small')
> sp.set_xticks(X)
> sp.set_ylabel('Y', fontsize='small')
> #sp.set_yticklabels(sp.get_yticklabels(), fontsize='small')
> sp.plot(X, Y, "b--")
>
> unfortunately I can't set yticklabes without passing the labels as well, which i'd like to avoid as it really much depends on the data and the subplot. I'm happy with matplotlib calculating the yticklabels the way it does, i just would like to have control over their fonts size.
>
> Any idea?
>
> --
>    Claudio Martella
>    cla...@vu...
>
>
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On Wed, Jan 25, 2012 at 7:14 AM, andi <and...@go...> wrote:

>  Hi Tony,
>
> thanks for your reply! I am not using the pdf backend, but the GTKAgg
> backend. Is it working with this backend in the development version?
>
> Cheers
> Andi
>

Hi Andi,

Unfortunately, I can't run the GTKAgg backend, but I checked your code
snippet on the backends I have on my system. It seems this behavior is
really inconsistent:

Works:
* agg
* qt4agg
* tkagg

Doesn't work:
* pdf
* macosx

To be honest, I don't understand the magical workings of the backends very
well. I've copied the developer list since the consistency of backends
seems like a relevant issue.

-Tony

P.S. Andi: Be sure to "reply all" since the mailing list doesn't
automatically do this for some reason.


>
> On 25/01/12 00:26, Tony Yu wrote:
>
>
>
> On Tue, Jan 24, 2012 at 12:53 PM, andi <and...@go...> wrote:
>
>> Hi all,
>>
>> I have some old custom code for generating videos from matplotlib (not
>> using the animation module). It used to work, but is now failing.
>> Here is what I am doing:
>>
>> -------------------
>> import matplotlib.pyplot as plt
>> import numpy as np
>>
>> fig = plt.figure()
>> ax = fig.add_subplot(111)
>> im = ax.imshow(np.zeros((100, 100)))
>> fig.canvas.draw()
>> ax.draw_artist(im)
>> ------------------
>>
>> ... and draw_artist from axes.py then gives me an AssertionError because
>> no renderer is found (assert self._cachedRenderer is not None).
>>
>> Right now I am using matplotlib 1.0.1 and I think that the above used to
>> work with older versions in matplotlib. See e.g.
>>
>> http://www.mail-archive.com/mat...@li.../msg06598.html
>>
>> Any ideas?
>>
>> Cheers
>> Andi
>>
>>
> Hi Andi,
>
> I'm running a development version of matplotlib, and your code runs
> without issue. That doesn't really solve your issue, but it means that it's
> not due to deprecation.
>
> On a hunch, I tried running the code with
> >>> import matplotlib
> >>> matplotlib.use('pdf')
> at the top of the file, and I got the same error. Not really sure why,
> though. Do you happen to have the pdf backend set as the default?
>
> -Tony
>
>

> -----Original Message-----
> From: alw46 [mailto:ama...@gm...]
> Sent: Tuesday, January 24, 2012 3:40 PM
> To: mat...@li...
> Subject: Re: [Matplotlib-users] Plotting contour in X-Z plane
> 
> 
> Hi Eric,
> 
> First, thanks for the sample - I agree that it's a neat example and I
> really
> appreciate the help.
> 
> Second, I've tried to adapt your code to my specific situation and I'm
> running into a problem: it's not printing all the levels that I'm
> specifying.  Do you have any insights into why?  I can't seem to find
> any
> documentation on the cntr.cntr method, so I'm just trial-and-erroring
> it for
> now.


Running the code you posted, I don't see any failures.  The simplest way to check if is producing all of the contours that it should is to use the contour() function to plot the contours in each plane separately, and see that what it plots is identical to what contour3D() plots in each plane.  When I do that, everything looks okay.  

For instance, in the v[:,:,0] plane, the nominally missing contours are at 3, 3.1111, and 3.2222.  However, if we ask if we should see these contours, by evaluating v[:,:,0].min() = 3.307, the answer is no, since they are all smaller than the minimum v in that plane.  I haven't repeated this analysis for the other 9 planes, but I suspect it also follows there.

For reference, the Cntr object is defined by mpl as a C extension (code here: https://github.com/matplotlib/matplotlib/blob/master/src/cntr.c ). To display the small amount of help that it comes with call help(cntr.Cntr) in ipython.  (Using cntr.Cntr? won't find the help.)  I think that the entire cntr module is really an internal detail, hence the lack of user facing documentation.


> 
> I'd like it to print more than 6 contour levels (why did you have this
> limit?), so I changed your error statement.  I've also used a 10x10x10
> grid,
> and put in my own data for the 'v' set.


I limited it to 6 levels since my mesh was much denser and really with more than 1 or 2 levels there were too many lines to see anything useful.  Rotating the view also becomes slow if the number of lines becomes excessively large.


> 
> Also, I've simplified it so that it's only displaying in the X-Y plane,
> and
> so that it's only displaying one "slice" in that plane.  I'm asking it
> to
> display contours every 0.1, between 3.0 and 4.0, but some contours are
> missing, and come up as empty arrays when I print 'c'.


FYI, your code does r_[3:4:10j] which gives 3.0 to 4.0 inclusive in steps of 1/9, rather than steps of 1/10, since when called this way r_[] is endpoint inclusive. 


> 
> I've uploaded the modified file.
> 
> http://old.nabble.com/file/p33197575/cntr3d_alw.py cntr3d_alw.py
> 
> Thanks!
> Amanda
> 
> 

Best, 

Eric

hello list,

I'm having quite a big number of subplots all together inside of the same figure, which pushes me to reduce the font size quite a lot to avoid overlap.
I've been able to set quite everything, except of the ytickslabels:

sp = fig.add_subplot(611, xlim=(10, 100))
sp.set_title(my_title, fontsize='small')
sp.set_xticklabels(('10', '15', '20', '30', '45', '60', '75', '90'), fontsize='small')
sp.set_xticks(X)
sp.set_ylabel('Y', fontsize='small')
#sp.set_yticklabels(sp.get_yticklabels(), fontsize='small')
sp.plot(X, Y, "b--")

unfortunately I can't set yticklabes without passing the labels as well, which i'd like to avoid as it really much depends on the data and the subplot. I'm happy with matplotlib calculating the yticklabels the way it does, i just would like to have control over their fonts size.

Any idea?

--
    Claudio Martella
    cla...@vu...

Hi,

the Basemap allskymap example (examples/allskymap.py in current git and 
basemap rev 1.0.2) plots buggy tissots if they cross the zero meridian and/or 
the poles (see http://web.physik.rwth-
aachen.de/~winchen/unfixed_polarRegions_llskymap.png ).

The attached patch fixes this issue (see http://web.physik.rwth-
aachen.de/~winchen/fixed_polarRegions_llskymap.png ).

Best regards.


Tobias