that's nice!!! thank you...
anyway, I wanted to take advantage of the Traits implementation of my app...
simone
2009/1/23 eliben eli...@gmail.com:
Simone Gabbriellini-3 wrote:
Dear List,
I have some variables I want to plot... the values of those variable
change in time... I would like
Ryan,
You'd want to look at the animation examples in examples/animation. The exact
details will depend upon what backend you want to use, but
strip_chart_demo.py,
simple_anim_gtk.py, and gtk_timeout.py are good places to start.
I tried the strip_chart_demo.py, which is my case, but at
Sorry I made a mistake... what I mean is that I tryed the code in the
section GUI neutral animation in pylab from
http://www.scipy.org/Cookbook/Matplotlib/Animations, which is my
case... and, as I said, nothing is drawn in the window untill the
function ends the cycle, then the line is displayed
I see that you first build your array and then display it at the end...
is it possible in matplotlib to update the plot while the class is
evolving? like:
f.evolve(6)
f.display()
f.evolve(.27)
f.display()
f.evolve(10)
f.display()
f.evolve(2)
f.display()
best regards,
simone
2009/1/19 C Lewis
Simone Gabbriellini wrote:
I see that you first build your array and then display it at the end...
is it possible in matplotlib to update the plot while the class is
evolving? like:
f.evolve(6)
f.display()
f.evolve(.27)
f.display()
f.evolve(10)
f.display()
f.evolve(2)
f.display()
Dear List,
I have some variables I want to plot... the values of those variable
change in time... I would like to plot the result with a traditional
line plot
those variables are traits of a class (don't know if this can make a
difference...)
is there any example of this with matplotlib?
best
thanks, it is exactly what I need... I have undestood the logic, I
build a plot, put my traits values into an array and then I call the
add_current_state_to_plot function to update the plot with the new
values...
I am an absolute beginner of matplotlib, can you give me a little
example of
#Skeleton example of a taking snapshots of an evolving class
import pylab as p
from math import log
class foo:
def __init__(self):
self.red = 0
self.green = 1
self.age = 0
self.history = ([self.age],[self.red],[self.green])
def snapshot(self):