import numpy as np
import matplotlib.pyplot as plt
import math
from matplotlib import animation
def normal_distribution(x, mu, sigma):
return np.exp(-1 * ((x - mu) ** 2) / (2 * (sigma ** 2))) / (math.sqrt(2 * np.pi) * sigma)
mu = 0
sigma = 1
x = np.linspace(mu - 6 * sigma, mu + 6 * sigma, 200)
y = normal_distribution(x, mu, sigma)
fig, ax = plt.subplots()
xdata = []
ydata = []
def upadte(frame):
xdata.append(frame)
ydata.append(normal_distribution(frame, mu, sigma))
plt.fill_between(xdata, ydata, [0], color='blue', alpha=0.1)
line.set_data(xdata, ydata)
return line,
def init():
ax.set_xlim(-6, 6)
ax.set_ylim(0, 0.5)
return line,
line, = plt.plot(xdata, ydata, 'r-')
ani = animation.FuncAnimation(
fig=fig,
func=upadte,
frames=np.linspace(mu - 6 * sigma, mu + 6 * sigma, 200),
init_func=init,
interval=10,
repeat=False
)
ax.set_xlabel("X")
ax.set_ylabel("Y")
plt.grid()
plt.show()
ani.save('ani_1.gif')
python animation画概率密度函数填充动画
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转载自blog.csdn.net/s1hjf/article/details/127830790
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