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# Animated subplots

This example uses subclassing, but there is no reason that the proper function couldn’t be set up and then use FuncAnimation. The code is long, but not really complex. The length is due solely to the fact that there are a total of 9 lines that need to be changed for the animation as well as 3 subplots that need initial set up.

    import numpy as np
    import matplotlib.pyplot as plt
    from matplotlib.lines import Line2D
    import matplotlib.animation as animation

    class SubplotAnimation(animation.TimedAnimation):
        def __init__(self):
            fig = plt.figure()
            ax1 = fig.add_subplot(1, 2, 1)
            ax2 = fig.add_subplot(2, 2, 2)
            ax3 = fig.add_subplot(2, 2, 4)

            self.t = np.linspace(0, 80, 400)
            self.x = np.cos(2 * np.pi * self.t / 10.)
            self.y = np.sin(2 * np.pi * self.t / 10.)
            self.z = 10 * self.t

            ax1.set_xlabel('x')
            ax1.set_ylabel('y')
            self.line1 = Line2D([], [], color='black')
            self.line1a = Line2D([], [], color='red', linewidth=2)
            self.line1e = Line2D(
                [], [], color='red', marker='o', markeredgecolor='r')
            ax1.add_line(self.line1)
            ax1.add_line(self.line1a)
            ax1.add_line(self.line1e)
            ax1.set_xlim(-1, 1)
            ax1.set_ylim(-2, 2)
            ax1.set_aspect('equal', 'datalim')

            ax2.set_xlabel('y')
            ax2.set_ylabel('z')
            self.line2 = Line2D([], [], color='black')
            self.line2a = Line2D([], [], color='red', linewidth=2)
            self.line2e = Line2D(
                [], [], color='red', marker='o', markeredgecolor='r')
            ax2.add_line(self.line2)
            ax2.add_line(self.line2a)
            ax2.add_line(self.line2e)
            ax2.set_xlim(-1, 1)
            ax2.set_ylim(0, 800)

            ax3.set_xlabel('x')
            ax3.set_ylabel('z')
            self.line3 = Line2D([], [], color='black')
            self.line3a = Line2D([], [], color='red', linewidth=2)
            self.line3e = Line2D(
                [], [], color='red', marker='o', markeredgecolor='r')
            ax3.add_line(self.line3)
            ax3.add_line(self.line3a)
            ax3.add_line(self.line3e)
            ax3.set_xlim(-1, 1)
            ax3.set_ylim(0, 800)

            animation.TimedAnimation.__init__(self, fig, interval=50, blit=True)

        def _draw_frame(self, framedata):
            i = framedata
            head = i - 1
            head_slice = (self.t > self.t[i] - 1.0) & (self.t < self.t[i])

            self.line1.set_data(self.x[:i], self.y[:i])
            self.line1a.set_data(self.x[head_slice], self.y[head_slice])
            self.line1e.set_data(self.x[head], self.y[head])

            self.line2.set_data(self.y[:i], self.z[:i])
            self.line2a.set_data(self.y[head_slice], self.z[head_slice])
            self.line2e.set_data(self.y[head], self.z[head])

            self.line3.set_data(self.x[:i], self.z[:i])
            self.line3a.set_data(self.x[head_slice], self.z[head_slice])
            self.line3e.set_data(self.x[head], self.z[head])

            self._drawn_artists = [self.line1, self.line1a, self.line1e,
                                   self.line2, self.line2a, self.line2e,
                                   self.line3, self.line3a, self.line3e]

        def new_frame_seq(self):
            return iter(range(self.t.size))

        def _init_draw(self):
            lines = [self.line1, self.line1a, self.line1e,
                     self.line2, self.line2a, self.line2e,
                     self.line3, self.line3a, self.line3e]
            for l in lines:
                l.set_data([], [])

    ani = SubplotAnimation()
    # ani.save('test_sub.mp4')
    plt.show()

Total running time of the script: ( 0 minutes 0.165 seconds)

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