matplotlib animation multiple datasets

Question

I have multiple datasets that I want to plot at the same time in a matplotlib animation. Is this possible? Each dataset is an array of (x,y) co-ordinates, so I want to be to animation to cycle through (x,y) co-ordinates, and continuously update until the end of the array. It's straight forward for a single dataset, but I'm having trouble doing it more than one. Any help would be much appreciated.

Here is my problem;

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation

def update_line(num, data, line):
    line.set_data(data[...,:num])
    return line,

fig1 = plt.figure()

data1 = np.random.rand(2, 25)
data2 = np.random.rand(2, 25)
l, = plt.plot([], [], 'r-')
plt.xlim(0, 1)
plt.ylim(0, 1)
plt.xlabel('x')
plt.title('test')
line_ani = animation.FuncAnimation(fig1, update_line, 25, fargs=(data, l),interval=50, blit=False)

plt.show()

This works fine for plotting just the first dataset, however I don't know how to plot both data1 and data2 together (and in the future I would like to have 10 datasets on the same animation). I just don't really understand update_line function in doing, if somebody could give me a answer to this it would clear up a lot of things in my mind.

Trenton McKinney · Accepted Answer · 2022-07-25 18:18:22Z

2

the animation function is only called once per frame, so you have to make sure you're updating both of your plots in that one single call.

For example:

def update_lines(num, data1, data2, line1, line2):
    line1.set_data(data1[...,:num])
    line2.set_data(data2[...,:num])
    return line1,line2

data1 = np.random.rand(2, 25)
data2 = np.random.rand(2, 25)

fig1 = plt.figure()
ax1 = fig1.add_subplot(121)
ax2 = fig1.add_subplot(122)
l1, = ax1.plot([], [], 'r-')
l2, = ax2.plot([], [], 'g-')
for ax in (ax1, ax2):
    ax.set_xlim(0, 1)
    ax.set_ylim(0, 1)
    ax.set_xlabel('x')
    ax.set_title('test')
line_ani = animation.FuncAnimation(fig1, update_lines, 25, fargs=(data1, data2, l1, l2),interval=50, blit=False)

edited Jul 25, 2022 at 18:18

Trenton McKinney

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answered Aug 29, 2015 at 20:27

Diziet Asahi

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