Python Scipy stats.fisk()用法及代码示例

scipy.stats.fisk()是一个Fisk连续随机变量。它也被称为log-logistic分布，它等于d == 1的Burr分布，并以标准格式和一些形状参数定义以完成其规格。

代码1：创建Fisk连续随机变量

from scipy.stats import fisk 
  
numargs = fisk.numargs 
[a] = [0.7, ] * numargs 
rv = fisk(a) 
  
print ("RV : \n", rv)  

输出：

RV : 
 <scipy.stats._distn_infrastructure.rv_frozen object at 0x0000018D568102B0>

代码2：无序随机变量和概率分布。

import numpy as np 
quantile = np.arange (0.01, 1, 0.1) 
   
# Random Variates 
R = fisk.rvs(a, scale = 2,  size = 10) 
print ("Random Variates : \n", R) 
  
# PDF 
R = fisk.pdf(a, quantile, loc = 0, scale = 1) 
print ("\nProbability Distribution : \n", R)

输出：

Random Variates : 
 [7.79438195 3.97977194 3.20802248 3.02623867 9.36996936 8.54462365
 0.47436888 0.4645239  2.1188909  1.49435511]

Probability Distribution : 
 [0.00357142 0.0392706  0.07489491 0.11037659 0.1456485  0.18064439
 0.21529915 0.2495491  0.28333225 0.31658852]
 

代码3：图形表示。

import numpy as np 
import matplotlib.pyplot as plt 
  
distribution = np.linspace(0, np.minimum(rv.dist.b, 3)) 
print("Distribution : \n", distribution) 
  
plot = plt.plot(distribution, rv.pdf(distribution))

输出：

Distribution : 
 [0.         0.06122449 0.12244898 0.18367347 0.24489796 0.30612245
 0.36734694 0.42857143 0.48979592 0.55102041 0.6122449  0.67346939
 0.73469388 0.79591837 0.85714286 0.91836735 0.97959184 1.04081633
 1.10204082 1.16326531 1.2244898  1.28571429 1.34693878 1.40816327
 1.46938776 1.53061224 1.59183673 1.65306122 1.71428571 1.7755102
 1.83673469 1.89795918 1.95918367 2.02040816 2.08163265 2.14285714
 2.20408163 2.26530612 2.32653061 2.3877551  2.44897959 2.51020408
 2.57142857 2.63265306 2.69387755 2.75510204 2.81632653 2.87755102
 2.93877551 3.        ]

代码4：改变位置参数

import matplotlib.pyplot as plt 
import numpy as np 
  
x = np.linspace(0, 5, 100) 
  
# Varying positional arguments 
y1 = fisk.pdf(x, 1, 3) 
y2 = fisk.pdf(x, 1, 4) 
plt.plot(x, y1, "*", x, y2, "r--")

输出：