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Defining multiple plots to be animated with a for loop in Matplotlib
To define multiple plots to be animated with a for loop in matplotlib, we can take followings steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create a new figure or activate an existing figure using figure method.
- Add an axes to the current figure and make it the current axes.
- Initialize two variables, N and x, using numpy.
- Get the list of lines and bar patches.
- Animate the lines and rectangles (bar patches) in a for loop.
- Make an animation by repeatedly calling a function *func*.
- To display the figure, use show() method.
Example
from matplotlib import pyplot as plt from matplotlib import animation import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() ax = plt.axes(xlim=(0, 2), ylim=(0, 100)) N = 4 x = np.linspace(-5, 5, 100) lines = [plt.plot(x, np.sin(x))[0] for _ in range(N)] rectangles = plt.bar([0.5, 1, 1.5], [50, 40, 90], width=0.1) patches = lines + list(rectangles) def animate(i): for j, line in enumerate(lines): line.set_data([0, 2, i, j], [0, 3, 10 * j, i]) for j, rectangle in enumerate(rectangles): rectangle.set_height(i / (j + 1)) return patches anim = animation.FuncAnimation(fig, animate, frames=100, interval=20, blit=True) plt.show()
Output
Updated on: 16-Jun-2021
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