Re: [Matplotlib-users] Figure save hack

2012-03-16 Thread François Beaubert
Indeed, saving figures in the manner of Matlab would be a great feature 
enhancement for Matplotlib.

Keep Hacking ! :)

Cheers
François
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Re: [Matplotlib-users] backend with edition capabilities

2012-03-09 Thread François Beaubert

Le 05/03/2012 21:37, Federico Ariza a écrit :

Hi

As I thought, this is a tricky subject.

So far I just opened a github account and added the three files that I 
am using.

https://github.com/fariza/MPL-Experimental-Backend
I have tested this on linux, I do not know if it works on windows.

I know glade is not the right way to do it if I want this to be taken 
serously.
So far the only thing I want is to experiment and see what subset of 
actions are needed by most people.


The code is ugly but if this is something that more people find 
useful, I will do something about that, if not I will keep it to 
myself and my personal use.


Thanks
Federico


P.S. The group expander is because I have personal need of line group 
management

P.S.2. The toolbar will be modified to be unified among all the figures
P.S.3. The figures are arranged in a notebook because I hate having 
multiple open windows from the same source.
P.S.4. I am thinking on adding a shell with all the figure and line 
instances ready to be modified by hand.


On Wed, Feb 29, 2012 at 5:02 PM, Federico Ariza 
ariza.feder...@gmail.com mailto:ariza.feder...@gmail.com wrote:


Dear all

I am a long time matplotlib user  (under linux) but new to the
list (second post).

On of the things that bothers me the most is the inability of the
standard backend to change simple things (line color, labels, etc...).

I resorted to create a simple FrankeinBackend (based on the GtkAgg)
I guess I am not the only one missing this kind of features or
experimenting with similar ideas.

Some points comes to my mind:
Is there any special place where we can share and discuss this?
Is it better if I just open a googlecode place for my code.?
This is a recurring question and I have no idea what I am talking
about
This is already done I am reinventing the wheel

Thanks
Federico

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Hi,

Great project and addition to matplotlib ! Something that was missing 
for me ... thanks !
I've tried to use your backend with editions capabilities but i'm stick 
with this erro:


python test.py
Traceback (most recent call last):
  File test.py, line 4, in module
import matplotlib.pyplot as plt
  File /usr/lib/pymodules/python2.7/matplotlib/pyplot.py, line 95, in 
module

new_figure_manager, draw_if_interactive, show = pylab_setup()
  File /usr/lib/pymodules/python2.7/matplotlib/backends/__init__.py, 
line 25, in pylab_setup

globals(),locals(),[backend_name])
  File 
/home/beaubert/Téléchargements/fariza-MPL-Experimental-Backend-aa7ce4a/experimentalbackend.py, 
line 34, in module

settings.props.gtk_button_images = True
AttributeError: 'gobject.GProps' object has no attribute 'gtk_button_images'

I'm on Kubuntu 11.10.
Thank's

Cheers
Francois
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Re: [Matplotlib-users] Runtime customization of plots

2010-03-04 Thread François Beaubert

Andrea Gavana a écrit :

Only the second approach slightly resembles what I have in mind.
Navigating the plot using shortcuts and the MPL toolbars is less than
1% of what you can do to customize a MPL plot. Asking a user who knows
nothing about Python (or programming in general) to use the IPython
shell to modify the plot in runtime is unrealistic at best.

The second approach looks interesting (pity it's been done using Qt,
but then, the world is not perfect either...). I could use some of
that code to build something that looks like a *beginning* of a
possible customization of plots (using THE GUI toolkit). I thought
this issue could have been important, as any other 2D/3D plotting
toolkits (commercial and not commercial) have some (or a lot) of
ability to customize their plots once they have been generated...

Andrea.
  


Jeremy Sanders initially developed Veusz  as backend to Matplotlib but 
this branch was temporarily abandoned  to restart recently. 

Matplotlib is THE reference library for scientific graphics under python 
and Veusz is also an EXCELLENT GUI app for scientific graphics. I think 
that Veusz+Matplolib could considerably widen their fields of 
application and theirs user's community if Matplotlib was used as a 
backend by default. This had already been spoken in veusz's mailing  
list and after these exchanges a new experimental branch (based on 
Matplotlib) was born. IMHO Matplotlib has now the object-orientated 
structure to easily use it for this purpose. Furthermore it now has 3d 
support as well as quiver plot and much more to offer.


https://mail.gna.org/public/veusz-discuss/2009-04/msg5.html
https://code.launchpad.net/veusz/experimental

You could also see what Pierre Raybaut has already done with Spyder

http://code.google.com/p/spyderlib/

Regards
Francois


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Re: [Matplotlib-users] Controling the tick thickness

2006-10-10 Thread François Beaubert
Le Lundi 9 Octobre 2006 19:11, Zack a écrit :
 Bonjour François!

 Take it easy.

 rc(lines, markeredgewidth=4)

 There is no reasons to put cycle inside you code.

 Regards,

Thanks for the tips zack !
It works like a dream ...

Is there a way to specify only major or minor ticks marks ?

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Re: [Matplotlib-users] Controling the tick thickness

2006-10-09 Thread François Beaubert
Le Vendredi 6 Octobre 2006 19:59, John Hunter a écrit :
 for line in ax.get_xticklines():
     line.set_linewidth(2.0)

Thanks !
I have try this as in examples/axes_props.py but it doesn't work for me

from pylab import *

t = arange(0.0, 2.0, 0.01)
s = sin(2*pi*t)
ax = subplot(111)
ax.plot(t, s)
ax.grid(True)

ticklines = ax.get_xticklines()
ticklines.extend( ax.get_yticklines() )

for line in ticklines:
line.set_linewidth(4)

show()

any ideas ? I use matplotlib-0.87.5 and Python 2.4.3
Is there a way to do this in matplotlibrc like for tick length ?


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[Matplotlib-users] Controling the tick thickness

2006-10-05 Thread François Beaubert
Hi all,

I have look in the doc and examples but was unable to find a way to control 
the thickness of the major and minor tick on the axis.

Forgive me for this very basic question but if you now a way to do that...

Thanks a lot
Francois
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