that's nice!!! thank you...
anyway, I wanted to take advantage of the Traits implementation of my app...
simone
2009/1/23 eliben :
>
>
>
> 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 to
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 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...)
>
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
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
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.
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 :
#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):
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 add_cur
Guessing about what you want:
Does the class change with time? that is, perhaps you have a class
foo, and foo evolves, and you would like to plot a history of some
traits of foo, but at any given moment foo only contains its current
state?
If so, I think you need to have a function in foo,
