Python Scipy stats.hypsecant()用法及代码示例

scipy.stats.hypsecant()是双曲正割连续随机变量。为了完成其规格，它以标准格式和一些形状参数定义。概率密度以“standardized”形式定义。

参数：

-> α : scale
-> β : shape
-> μ : location

代码1：创建双曲正割连续随机变量

from scipy.stats import hypsecant   
   
numargs = hypsecant.numargs 
[] = [0.7, 0.4] * numargs 
rv = hypsecant () 
   
print ("RV : \n", rv)

输出：

RV : 
 scipy.stats._distn_infrastructure.rv_frozen object at 0x0000021FB588A160

代码2：双曲正割连续变量和概率分布

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

输出：

Random Variates : 
 [ 0.50120826  0.60225476 -0.38307417  7.15799321 -1.1929279  -2.03152053
 -0.07410646  1.79859597 -3.14724818  2.03731139]

Probability Distribution : 
 [0.31829397 0.31639377 0.31141785 0.30360449 0.2933099  0.28097073
 0.26706289 0.25206321 0.23641852 0.22052427]

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 = hypsecant .pdf(x, 1, 3) 
y2 = hypsecant .pdf(x, 1, 4) 
plt.plot(x, y1, "*", x, y2, "r--")

输出：

相关用法

注：本文由纯净天空筛选整理自kshitijishere大神的英文原创作品 scipy stats.hypsecant() | Python。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。