To animate a plot in matplotlib, we can take the following steps −
Set the figure size and adjust the padding between and around the subplots.
Create a random data of shape 10X10 dimension.
Create a figure and a set of subplots, using subplots() method.
Makes an animation by repeatedly calling a function *func*, using FuncAnimation() class.
To update the contour value in a function, we can define a method animate that can be used in FuncAnimation() class.
To display the figure, use show() method.
Example
import numpy as np import matplotlib.pyplot as plt import matplotlib.animation as animation plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = np.random.randn(800).reshape(10, 10, 8) fig, ax = plt.subplots() def animate(i): ax.clear() ax.contourf(data[:, :, i]) ani = animation.FuncAnimation(fig, animate, 5, interval=50, blit=False) plt.show()
Output
