I am new to coding and have been trying to create an animation in python from a previously generated code in Octave (below). So far I have not had any success, besides plotting an unanimated scatter plot. Any tips or help would be greatly appreciated.
clear;
N = 100;
NT = 200;
for i=1:N
x(i) = 0;
y(i) = 0;
end
plot(x,y,'o');
axis([0 20 -10 10]);
for k = 1 : NT
x = x + normrnd(0.1,0.1,1,N);
y = y + normrnd(0,0.1,1,N);
temp = mod(k,1);
if temp == 0
plot(x,y,'s');
axis([0 20 -10 10]);
drawnow
end
end
Here is one of the many attempts that did not work (below).
import numpy as np
import matplotlib as plt
from pylab import *
from matplotlib import animation
import random
n=100
nt=2000
m=20
mu=0
sigma=0.1
p=100
fig = plt.figure()
ax = plt.axes(xlim=(-10, 10), ylim=(-10, 10))
scat, = ax.plot([], [])
# initialization function: plot the background of each frame
def init():
x = 0
y = 0
return scat,
# animation function. This is called sequentially
def animate(i):
for k in range (1,nt):
x = x+ np.random.normal(mu, sigma, n)
return scat,
for i in range (1,nt):
y = y+ np.random.normal(mu, sigma, n)
return scat,
anim = animation.FuncAnimation(fig, animate,
init_func=init,frames=200, interval=20, blit=True)
plt.show()
you could do the animation using Octave of Python.
For the python script I think that one of the problems was to set a return within a loop, therefore several times for one function def animate. Looking at the animation doc https://matplotlib.org/api/animation_api.html I edited your example and got this which I think might be usefull:
import numpy as np
import matplotlib.pyplot as plt
from pylab import *
from matplotlib.animation import FuncAnimation
import random
n=100
sigma=0.1
nt=2000
fig, ax = plt.subplots()
xdata, ydata = [0.0], [0.0]
ln, = plt.plot([], [], 'ro', animated=True)
def init():
ax.set_xlim( 0, 20)
ax.set_ylim(-10, 10)
return ln,
def update(frame):
global xdata
global ydata
xdata = xdata + np.random.normal(0.1, sigma, n)
ydata = ydata + np.random.normal(0.0, sigma, n)
ln.set_data(xdata, ydata)
return ln,
ani = FuncAnimation(fig, update, frames=np.linspace(0, 2*np.pi, 128),
init_func=init, blit=True)
plt.show()
You could also do the animation using octaves print command to generate several pngs and use gimp to produce a gif or embbed in LaTeX the pngs using animate.
Best, Jorge