from tqdm import tqdm
import matplotlib.pyplot as plt
import numpy as np
def LogisticMap():
 mu = np.arange(2, 4, 0.0001)
 x = 0.2 # 初值
 iters = 1000 # 不进行输出的迭代次数
 last = 100 # 最后画出结果的迭代次数
 for i in tqdm(range(iters+last)):
  x = mu * x * (1 - x)
  if i >= iters:
   plt.plot(mu, x, ',k', alpha=0.25) # alpha设置透明度
 plt.show()
LogisticMap()

import matplotlib.pyplot as plt
import numpy as np
x = np.arange(0,1,0.01)
y = ln(x/(1-x))
plt.plot(y,x)