Στις 23/01/2012 07:48 μμ, ο/η Tony Yu έγραψε:
2012/1/23 Gousios George <gg...@windowslive.com
<mailto:gg...@windowslive.com>>
Στις 23/01/2012 06:52 μμ, ο/η Tony Yu έγραψε:
2012/1/23 Gousios George <gg...@windowslive.com
<mailto:gg...@windowslive.com>>
Στις 21/01/2012 07:43 μμ, ο/η Gousios George έγραψε:
Στις 21/01/2012 07:05 μμ, ο/η Tony Yu έγραψε:
On Sat, Jan 21, 2012 at 11:31 AM, Gousios George
<gg...@windowslive.com <mailto:gg...@windowslive.com>> wrote:
Στις 21/01/2012 04:54 μμ, ο/η Tony Yu έγραψε:
On Sat, Jan 21, 2012 at 9:07 AM, Gousios George
<gg...@windowslive.com <mailto:gg...@windowslive.com>>
wrote:
Hello , i have the following code in matlab and
trying to do it in
matplotlib.
I have this code in matlab (in a function showGraphs):
...
m = size(myList, 3);
for k = 1:m
g = myList(:, :, k);
image(g + 1)
axis off
axis square
M(k) = getframe;
end;
and in another file (another function):
...
M = showGraphs(grids)
movie(M, 1)
I did so far:
def showGraphs(data):
data=sc.array([data])
n=sc.shape(data)[2]
for k in range(n):
mydata=data[:,:,k]
#plt.imshow(mydata+1) -->> this doesn't
work
Also ,in order to do the animation :
grids=...(result from another function)
result=showGraph(grids)
fig=plt.figure()
ani=animation.FuncAnimation(fig,result,interval=30,blit=True)
plt.show()
Right now the program says "TypeError: 'NoneType'
object is not
callable" (it has errors in the animation call)
What should be my approach to this in order to
have the animation?
Thank you!
You're getting that error because the second argument
to FuncAnimation (`result` in your example) should be
a function (not always; see example 2 linked below).
Right now, if your `showGraphs` function is defined in
full, it returns a value of None, which gets saved to
`result` (hence the error).
You should take a look at some of the image animation
examples (ex1
<http://matplotlib.sourceforge.net/examples/animation/dynamic_image.html>,
ex2
<http://matplotlib.sourceforge.net/examples/animation/dynamic_image2.html>).
-Tony
I did now :
def showGraphs(data):
data=sc.array([data])
n=sc.shape(data)[2]
ims=[]
for k in range(n):
mydata=data[:,:,k]
im=plt.imshow(mydata+1)
ims.append([im])
return ims
and now it gives me "TypeError: Invalid dimensions for
image data.
Please post short, but executable examples when possible.
I'm not sure what your data looks like, but your call to
`sc.array` is strange (I'm not sure why you have square
brackets, which effectively adds an unnecessary dimension
to your data).
The code attached below should work.
Cheers,
-Tony
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import ArtistAnimation
fig = plt.figure()
def showGraphs(data):
data = np.asarray(data) # unnecessary in this example
n = np.shape(data)[2]
ims = []
#for mydata in np.rollaxis(data, -1):
for k in range(n):
mydata = data[:, :, k]
im = plt.imshow(mydata)
ims.append([im])
return ims
# 5 frames of a random 20 x 20 image
data = np.random.uniform(size=(20, 20, 5))
ims = showGraphs(data)
ani = ArtistAnimation(fig, ims)
plt.show()
Now,it gives me 2 figures (why 2?) but empty.(maybe i didn't
convert right the matlab code below?)
The data in the showGraphs function is the result from this
function (in matlab):
.........
grids = zeros(n, n, t + 1);
grids(:, :, 1) = rest;
for i = 2:(t + 1)
Extended = extendLat1(rest);
rest = applyExtended(Extended);
grids(:, :, i) = rest;
end;
And i did this in python:
grids=sc.zeros((area,area,t+1))
rest=grids[:,:,0]
for i in range(1,t):
extended=extend(rest)
rest=apply_extend(extended)
grids[:,:,i]=rest
return grids
Thanks for helping!
Any help?Thanks!
Sorry, but could you be a bit clearer:
* Did the example I provide work for you?
* Assuming it did, are you essentially replacing `data` in my
example with `grids` in this most recent example?
* I don't get 2 figures: are you asking about the code from my
last message?
* Please provide a minimal, *executable* example
-Tony
Ok,i 'll try!
1) Yes,your example works fine.
2) Yes,i return grids from another function (work) doing :
grids=work(area,...,time)
result=showGraphs(grids)
ani=ArtistAnimation(fig,result)
plt.show()
The contents of the work function are shown above.
I just want to make sure that i have done the conversion from
matlab right.
Maybe the problem is somewhere else?
Thank you.
Did you get 2 figures with my original example, or just in your
modified code? If it's only in your modified code, then there's
something you're not showing which is creating the extra figure.
Unfortunately, the `work` function you showed in the previous message
is not executable (`apply_extend`, `extend`, etc. aren't defined),
which it makes it very difficult to debug. If my code snippet worked
for you, then the only difference is in how you've defined
`grids`---do you know how it's different?
-Tony
Ok,i am sending you the whole code of the program. (forget the names of
the functions i showed you so far , i use other names).
EMPTY=0 #empty cell
TREE=1 #tree cell
BURNING=2 #burning cell
probTree=0.8 #probability of tree
probBurning=0.001 #a tree ignites with this probability even if no
neighbor is burning
probLighting=0.0001 #chance that a tree been hit from light
probResistBurn=0.3 #chance that a tree does not burn even if it's
neighbor burns
t=20
area=50
def spread(cell,N,E,S,W):
if cell==EMPTY:
return EMPTY
elif cell==BURNING:
return EMPTY
else:
if (N==BURNING or E==BURNING or S==BURNING or W==BURNING):
if (sc.rand()<probResistBurn):
return TREE
else:
return BURNING
elif (sc.rand()<probLighting *(1-probResistBurn)):
return BURNING
else:
return TREE
def extend(lat):
lat = sc.matrix(lat)
extendRows= sc.vstack([lat[-1,:], lat, lat[0,:]])
extendLat=sc.hstack([extendRows[:,-1], extendRows, extendRows[:,0]])
return extendLat
def apply_extend(matr):
#matr = sc.matrix(matr)
matr=sc.array([matr])
area=sc.shape(matr)[0]
final=sc.zeros((area,area))
for i in range(1,area):
for j in range(1,area):
cell=matr[i,j]
N=matr[i-1,j]
E=matr[i,j+1]
S=matr[i+1,j]
W=matr[i,j-1]
final[i-1,j-1]=spread(cell,N,E,S,W)
return final
def fire(area,probTree,probBurning,probLighting,probResistBurn,t):
trees_or_burns=sc.rand(area,area)<probTree # tree or a burning tree
burns=trees_or_burns*(sc.rand(area,area)<probBurning) # burning tree
trees=trees_or_burns-burns # tree
empties=sc.ones((area,area))-trees_or_burns # empty cell
forest=empties*EMPTY + trees*TREE + burns*BURNING #the whole forest
grids=sc.zeros((area,area,t+1))
forest=grids[:,:,0]
for i in range(1,):
extended_forest=extend(forest)
forest=apply_extend(extended_forest)
grids[:,:,i]=forest
return grids
def Graph(data):
data=sc.array(data)
n=sc.shape(data)[2]
ims=[]
for i in range(n):
mydata=data[:,:,i]
im=plt.imshow(mydata)
ims.append([im])
return ims
if __name__=="__main__":
grids=fire(area,probTree,probBurning,probLighting,probResistBurn,t)
result=Graph(grids)
fig=plt.figure()
#ani=animation.FuncAnimation(fig,result,interval=30,blit=True,repeat_delay=1000)
ani=ArtistAnimation(fig,result)
plt.show()
Also, i am sending you the code in matlab :
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