Dynamically updating a bar plot in Matplotlib

To update a bar plot dynamically in Matplotlib, we can take the following steps −

• Set the figure size and adjust the padding between and around the subplots.
• Create a new figure or activate an existing figure.
• Make a list of data points and colors.
• Plot the bars with data and colors, using bar() method.
• Using FuncAnimation() class, make an animation by repeatedly calling a function, animation, that sets the height of the bar and facecolor of the bars.
• To display the figure, use show() method.

Example

import numpy as np from matplotlib import animation as animation, pyplot as plt, cm plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() data = [1, 4, 3, 2, 6, 7, 3] colors = ['red', 'yellow', 'blue', 'green', 'black'] bars = plt.bar(data, data, facecolor='green', alpha=0.75) def animate(frame):    global bars    index = np.random.randint(1, 7)    bars[frame].set_height(index)    bars[frame].set_facecolor(colors[np.random.randint(0, len(colors))]) ani = animation.FuncAnimation(fig, animate, frames=len(data)) plt.show()

Output