Plotting animated quivers in Python using Matplotlib

To animate quivers in Python, we can take the following steps −

Set the figure size and adjust the padding between and around the subplots.
Create x and y data points using numpy.
Create u and v data points using numpy.
Create a figure and a set of subplots.
Plot a 2D field of arrows using quiver() method.
To animate the quiver, we can change the u and v values, in animate() method. Update the u and v values and the color of the vectors.
To display the figure, use show() method.

Example

import numpy as np
import random as rd
from matplotlib import pyplot as plt, animation

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

x, y = np.mgrid[:2 * np.pi:10j, :2 * np.pi:5j]
u = np.cos(x)
v = np.sin(y)

fig, ax = plt.subplots(1, 1)
qr = ax.quiver(x, y, u, v, color='red')

def animate(num, qr, x, y):
   u = np.cos(x + num * 0.1)
   v = np.sin(y + num * 0.1)
   qr.set_UVC(u, v)
   qr.set_color((rd.random(), rd.random(), rd.random(), rd.random()))
   return qr,

anim = animation.FuncAnimation(fig, animate, fargs=(qr, x, y),
                              interval=50, blit=False)

plt.show()