Python Scipy stats.arcsine()用法及代码示例

scipy.stats.arcsine()是反正弦连续随机变量，使用标准格式和一些形状参数定义以完成其规格。

代码1：创建反正弦连续随机变量

# importing scipy 
from scipy.stats import arcsine 
  
numargs = arcsine.numargs 
[ ] = [0.6, ] * numargs 
rv = arcsine() 
  
print ("RV : \n", rv)

输出：

RV :  
<scipy.stats._distn_infrastructure.rv_frozen object at 0x0000029484D796D8>

代码2：反正弦随机变量和概率分布函数。

quantile = np.arange (0.01, 1, 0.1) 
   
# Random Variates 
R = arcsine.rvs(scale = 2,  size = 10) 
print ("Random Variates : \n", R) 
  
# PDF 
R = arcsine.pdf(x = quantile, scale = 2) 
print ("\nProbability Distribution : \n", R)

输出：

Random Variates : 
 [1.17353658 1.96350916 1.73419819 0.71255312 0.28760466 1.54410451
 1.9644408  0.35014597 0.26798525 0.24599504]

Probability Distribution : 
 [2.25643896 0.69810843 0.51917523 0.43977033 0.39423905 0.3651505
 0.34568283 0.33260295 0.32421577 0.31960693]

代码3：图形表示。

# libraries 
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.         0.02040816 0.04081633 0.06122449 0.08163265 0.10204082
 0.12244898 0.14285714 0.16326531 0.18367347 0.20408163 0.2244898
 0.24489796 0.26530612 0.28571429 0.30612245 0.32653061 0.34693878
 0.36734694 0.3877551  0.40816327 0.42857143 0.44897959 0.46938776
 0.48979592 0.51020408 0.53061224 0.55102041 0.57142857 0.59183673
 0.6122449  0.63265306 0.65306122 0.67346939 0.69387755 0.71428571
 0.73469388 0.75510204 0.7755102  0.79591837 0.81632653 0.83673469
 0.85714286 0.87755102 0.89795918 0.91836735 0.93877551 0.95918367
 0.97959184 1.        ]

代码4：变化的位置和规模

from scipy.stats import arcsine 
import matplotlib.pyplot as plt 
import numpy as np 
a = 2
b = 2
x = np.linspace(0, np.minimum(rv.dist.b, 3)) 
  
# Varying location and scale 
y1 = arcsine.pdf(x, -0.1, .8) 
y2 = arcsine.pdf(x, -3.25, 3.25) 
plt.plot(x, y1, "*", x, y2, "r--")