python - 嵌套while循环分布计算

Question

我有一个关于嵌套 while 循环的问题。 我想计算多个值的分布。这里是 mu 和 kappa。

import numpy as np
import matplotlib.pyplot as pl
import scipy.special as sps

mu = 1/9 # circular mean phase
mu_steps = 2/9
mu_end = 1
kappa = np.pi/8 # circular dispersion
kappa_steps = np.pi/8
kappa_end = np.pi/2

observations = 50

while mu <= mu_end:
    while kappa <= kappa_end:
        s = np.random.vonmises(mu, kappa, observations)
        count, bins, ignored = pl.hist(s, observations, normed=True)
        x = np.arange(-np.pi, np.pi, 2*np.pi/observations)
        y = -np.exp(kappa*np.cos(x-mu))/(2*np.pi*sps.jn(0,kappa))
        pl.plot(x, y/max(y), linewidth=2, color='r')
        pl.show(False)
        pl.draw()
        kappa = kappa + kappa_steps
    mu = mu + mu_steps

所以我让函数运行了，但它没有停止。我知道这将是一个简单的解决方案，但我不再只见树木不见森林了。

Answer 1

>>> import numpy as np
>>> mu = 1/9 # circular mean phase
>>> mu_steps = 2/9
>>> mu_end = 1
>>> kappa = np.pi/8 # circular dispersion
>>> kappa_steps = np.pi/8
>>> kappa_end = np.pi/2
>>> mu, mu_steps, mu_end
(0, 0, 1)
>>> kappa, kappa_steps, kappa_end
(0.39269908169872414, 0.39269908169872414, 1.5707963267948966)

你能看出问题出在哪里吗？

mu_steps == 0 ;变体mu将永远是<= mu_end .