20. Basic animation

This script provides a minimal, fundamental example of how to create an animation in Matplotlib using the FuncAnimation class. It initializes an empty line plot and defines an update function that progressively adds data points to the line for each frame. FuncAnimation then repeatedly calls this function to generate the final animation, creating the effect of a line being drawn across the plot.

Once Loop Reflect

Out:

C:\Users\kelda\Desktop\repositories\github\python-spare-code\main\examples\matplotlib\plot_main20_animation.py:33: UserWarning:

FigureCanvasAgg is non-interactive, and thus cannot be shown

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

# Adapted from
# https://matplotlib.org/gallery/animation/basic_example.html


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


fig, ax = plt.subplots()
data = np.random.RandomState(0).rand(2, 25)
line, = ax.plot([], [], 'r-')
ax.set(xlim=(0, 1), ylim=(0, 1))
ani = animation.FuncAnimation(fig, _update_line, 25, interval=100, blit=True)

plt.show()