Multiple axes animation#

This example showcases:

  • how animation across multiple subplots works,

  • using a figure artist in the animation.

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from matplotlib.patches import ConnectionPatch

fig, (axl, axr) = plt.subplots(
    ncols=2,
    sharey=True,
    figsize=(6, 2),
    gridspec_kw=dict(width_ratios=[1, 3], wspace=0),
)
axl.set_aspect(1)
axr.set_box_aspect(1 / 3)
axr.yaxis.set_visible(False)
axr.xaxis.set_ticks([0, np.pi, 2 * np.pi], ["0", r"$\pi$", r"$2\pi$"])

# draw circle with initial point in left Axes
x = np.linspace(0, 2 * np.pi, 50)
axl.plot(np.cos(x), np.sin(x), "k", lw=0.3)
point, = axl.plot(0, 0, "o")

# draw full curve to set view limits in right Axes
sine, = axr.plot(x, np.sin(x))

# draw connecting line between both graphs
con = ConnectionPatch(
    (1, 0),
    (0, 0),
    "data",
    "data",
    axesA=axl,
    axesB=axr,
    color="C0",
    ls="dotted",
)
fig.add_artist(con)


def animate(i):
    pos = np.cos(i), np.sin(i)
    point.set_data(*pos)
    x = np.linspace(0, i, int(i * 25 / np.pi))
    sine.set_data(x, np.sin(x))
    con.xy1 = pos
    con.xy2 = i, pos[1]
    return point, sine, con


ani = animation.FuncAnimation(
    fig,
    animate,
    interval=50,
    blit=False,  # blitting can't be used with Figure artists
    frames=x,
    repeat_delay=100,
)

plt.show()

References

The use of the following functions, methods, classes and modules is shown in this example:

Total running time of the script: ( 0 minutes 3.951 seconds)

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