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Animation with contours in matplotlib
To animate with contours in matplotlib, we can take the following steps
Steps
- Set the figure size and adjust the padding between and around the subplots. 
- Create data for the contour plot. 
- Create a figure and a set of subplots. 
- Generate an animation by repeatedly calling a function *animate* where the animate() method changes the contour data points. 
- To display the figure, use Show() method. 
Example
import numpy as np import matplotlib.pyplot as plt import matplotlib.animation as animation # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Random data for the contour plot data = np.random.randn(800).reshape(10, 10, 8) # Create a figure and a set of subplots fig, ax = plt.subplots() # Method to change the contour data points def animate(i): ax.clear() ax.contourf(data[:, :, i], cmap='plasma') # Call animate method ani = animation.FuncAnimation(fig, animate, 5, interval=50, blit=False) # Display the plot plt.show()
Output
It will produce the following output −

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