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
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
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
thanks Nicolas,
The interactive plot has been done using the AntTweakBarlibrary and is not really user friendly. You can view the source
from the demos directory:
I’ll take a look,
Also, note that glumpy is not a replacement for matplotlibbut rather a testbed for a future OpenGL backend to be
integrated into matplotlib.
Yes but I'm an engineer and therefor not interested in high quality
publication plots.
cheers,
Stef