本文将详细介绍使用Matplotlib绘制动图的方法。
步骤如下：
导入必要的模块
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation创建画布
fig, ax = plt.subplots()定义动画函数
def animate(i):
ax.clear() # 清空画布
t = i * dt
y = A * np.sin(2 * np.pi * f * t)
ax.plot([0, L], [0, 0], color="black")
ax.plot([0, L], [y, y], color="red")
ax.axis([0, L, -1.1 * A, 1.1 * A])
ax.set_aspect("equal")设置动画参数
dt = 0.05 # 时间步长，越小精度越高，但速度越慢
T = 2 # 持续时间
frames = int(T / dt) # 动画帧数
A = 1 # 振幅
f = 1 # 频率
L = 1 # 波长调用matplotlib.animation.FuncAnimation生成动画对象
ani = FuncAnimation(fig, animate, frames=frames, interval=50, repeat=True)显示并保存动画
plt.show()
ani.save("test.gif", writer="imagemagick", fps=20)完整代码如下：
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
fig, ax = plt.subplots()
def animate(i):
ax.clear()
t = i * dt
y = A * np.sin(2 * np.pi * f * t)
ax.plot([0, L], [0, 0], color="black")
ax.plot([0, L], [y, y], color="red")
ax.axis([0, L, -1.1 * A, 1.1 * A])
ax.set_aspect("equal")
dt = 0.05
T = 2
frames = int(T / dt)
A = 1
f = 1
L = 1
ani = FuncAnimation(fig, animate, frames=frames, interval=50, repeat=True)
plt.show()
# ani.save("test.gif", writer="imagemagick", fps=20)本文链接：https://my.lmcjl.com/post/20134.html
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