# analysis libs
import scipy
import numpy as np
# plotting libs
import matplotlib as mpl
import matplotlib.pyplot as plt
# Example with the exponential distribution
c = 0
lamb = 2
# Create a frozen exponential distribution instance with specified parameters
exp_obj = scipy.stats.expon(c,1/float(lamb))
x_in = np.linspace(0,1,200) # 200 numbers in [0,1], input for ppf()
y_out = exp_obj.ppf(x_in)
plt.plot(x_in,y_out) # graphically check the results of the inverse CDF
检查scipy.stats中任何分发类的.ppf()方法。 这相当于分位数函数(或者称为百分点函数或逆CDF)
来自scipy.stats的exponential distribution示例:
它看起来很新,但我发现了关于原子核和分位数的this。也许你可以看看(不测试)
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