matplotlib-users Mailing List for matplotlib

The interactive plot has been done using the AntTweakBar library and is not really user friendly. You can view the source from the demos directory:
http://code.google.com/p/glumpy/source/browse/demos/atb.py
Also, note that glumpy is not a replacement for matplotlib but rather a testbed for a future OpenGL backend to be integrated into matplotlib.
Nicolas
On Sep 18, 2011, at 14:00 , Stef Mientki wrote:
> hi Nicolas,
> 
> looks very interesting.
> 
> I was considering to move from MatPlotLib to guiqwt,
> because of it's easy interactive plots.
> But I see glumpy has it too.
> Can show the source code for the interactive plot in your examples ?
> 
> thanks,
> stef
> 
> 
> On 17-09-2011 19:22, Nicolas Rougier wrote:
>> 
>> 
>> Hi folks,
>> 
>> I am pleased to announce a new release of glumpy, a small python library for the (very) fast vizualization of numpy arrays, (mainly two dimensional) that has been designed with efficiency in mind. If you want to draw nice figures for inclusion in a scientific article, you’d better use matplotlib but if you want to have a sense of what’s going on in your simulation while it is running, then maybe glumpy can help you.
>> 
>> 
>> Download and screenshots at: http://code.google.com/p/glumpy/
>> 
>> Nicolas
>> 
>> 
>> ------------------------------------------------------------------------------
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>> 
>> 
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> 
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A leading space is missing in the output of 
 
 mpl.text(1, 1, '% .3f' % 1.234)
if used within the TeX backend. Whereas it is not
missing in the plain non-TeX backend.
Here is an example:
 import pylab as mpl
 #mpl.rcParams['text.usetex'] = False
 mpl.rcParams['text.usetex'] = True
 mpl.plot([1,3,2])
 mpl.text(1, 2.0, '% .3f' % 1.234)
 mpl.text(1, 1.9, '% .3f' % -1.234)
 mpl.show()
Ciao
Andreas

hi Nicolas,
looks very interesting.
I was considering to move from MatPlotLib to guiqwt,
because of it's easy interactive plots.
But I see glumpy has it too.
Can show the source code for the interactive plot in your examples ?
thanks,
stef
On 17-09-2011 19:22, Nicolas Rougier wrote:
>
> Hi folks,
>
> I am pleased to announce a new release of glumpy, a small python library for the (very) fast 
> vizualization of numpy arrays, (mainly two dimensional) that has been designed with efficiency in 
> mind. If you want to draw nice figures for inclusion in a scientific article, you'd better use 
> matplotlib but if you want to have a sense of what's going on in your simulation while it is 
> running, then maybe glumpy can help you.
>
>
> Download and screenshots at: http://code.google.com/p/glumpy/
>
> Nicolas
>
>
> ------------------------------------------------------------------------------
> BlackBerry® DevCon Americas, Oct. 18-20, San Francisco, CA
> http://p.sf.net/sfu/rim-devcon-copy2
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

On Sat, 2011年09月17日 at 19:19 -0500, John Hunter wrote:
> The artist tutorial covers drawing directly to a figure
> 
> http://matplotlib.sourceforge.net/users/artists.html#figure-container
> 
> I believe you could adapt the patches.FancyArrow to the same approach.
Thanks, John! I got JJ's approach to work, but I also tried it your way
and it seems to me to generate tidier code. You don't have to deal with
clip boxes either.
Example:
[code]
aspect = 23.0 / 8.0 # (These are my figure dimensions, X / Y) 
tr = fig.transFigure
w, h = 0.008, 0.02
ha = FancyArrow(0.0175, 0.03, 0.645, 0.0, width=w, head_length=h, \
 transform=tr)
va = FancyArrow(0.0125, 0.045, 0.0, 0.845, width=w/aspect, \
 head_length=h*aspect, transform=tr)
fig.patches.extend([ha, va])
[/code]
So it would appear that the special methods add_axes and add_subplot
exist only so that the "stateful" Matlab-like interface can be informed
as to which Axes object is "current." For any other object type, you
just add it to the list of the appropriate type in the Figure object.

Hello.
I have some data with corresponding date value (Y-M-D) and having 
hard time to understand how MPL works with dates.
I see it uses Python datetime, but I just can't figure how to make 
plots when some date data is missing.
Considering above, is there some easy way to make, lets say, 2 
variables plot where each variable could have 1-2 missing values?
Does date (abscissa) values have to follow some rules so that MPL 
could recognize it as date?
Cheers

On Fri, Sep 16, 2011 at 4:10 PM, John Ladasky
<joh...@sb...> wrote:
> Now I would like to add the axis lines and arrows. In fact, I would
> prefer a FancyArrow object.
>
> I can see how to add non-text objects to an Axes, e.g.:
>
> ax = fig.add_subplot(111)
> ax.add_patch(my_arrow)
>
> But that isn't my goal here. I want to add lines to the FIGURE, outside
> of any Axes. Does anyone know how to accomplish this? Thanks!
The artist tutorial covers drawing directly to a figure
http://matplotlib.sourceforge.net/users/artists.html#figure-container
I believe you could adapt the patches.FancyArrow to the same approach.
JDH