Combine two 2D animations in one figure using python, matplotlib.pyplot and animation.timedanimation


The result is:

Combine two 2D animations in one figure using python, matplotlib.pyplot and animation.timedanimation

This code shows how to combine two 2D animations in one figure using python, matplotlib.pyplot, and matplotlib.animation.

This code is based on the following web sites:

See also:
Python Matplotlib Tips: Combine two 2D animations in one figure using python, matplotlib.pyplot and animation.artistanimation
Combine two 2D animations in one figure using python, matplotlib.pyplot and animation.artistanimation
pythonmatplotlibtips.blogspot.jp

In [1]:
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import matplotlib.animation as animation
Define the animation function used in FuncAnimation function.
In [2]:
class SubplotAnimation(animation.TimedAnimation):
    def __init__(self):
        fig = plt.figure()
        ax1 = fig.add_subplot(2, 1, 1)
        ax2 = fig.add_subplot(2, 1, 2)

        self.t = np.linspace(0, 10, 500)
        self.x = np.cos(2 * np.pi * self.t)
        self.y = np.sin(2 * np.pi * self.t)

        ax1.set_ylabel(u'cos(2\u03c0t)')
        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(0, 10)
        ax1.set_ylim(-1, 1)
        plt.setp(ax1.get_xticklabels(),visible=False)

        ax2.set_xlabel('t')
        ax2.set_ylabel(u'sin(2\u03c0t)')
        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(0, 10)
        ax2.set_ylim(-1, 1)

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

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

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

    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]
        for l in lines:
            l.set_data([], [])
Build the animation.
In [3]:
ani = SubplotAnimation()
Save the animation in the mp4 and gif format using ffmpeg and imagemagick, respectively.
In [4]:
fn = 'combine_two_2d_animations_timedanimation'
ani.save('%s.mp4'%(fn),writer='ffmpeg')
ani.save('%s.gif'%(fn),writer='imagemagick')
Reduce the size of the GIF file using imagemagick
In [5]:
import subprocess
cmd = 'magick convert %s.gif -fuzz 10%% -layers Optimize %s_r.gif'%(fn,fn)
subprocess.check_output(cmd)
Out[5]:
b''
Finaly, show the animation in the jupyter notebook.
In [6]:
plt.rcParams['animation.html'] = 'html5'
ani
Out[6]:

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