Python Numpy np.lag2poly()方法

np.lag2poly()方法是用来将拉盖尔数列转换为多项式的。

语法: np.lag2poly(c)
参数:
c : [array_like] 拉盖尔数列系数的一维数组，从低到高排序。

返回： [ndarray] 包含等价多项式系数的一维数组。

代码#1：

# Python program explaining
# numpy.lag2poly() method 
    
# importing numpy as np  
# and numpy.polynomial.laguerre module as geek 
import numpy as np 
import numpy.polynomial.laguerre as geek
    
# Input laguerre series coefficients
  
c = np.array([0.1, 0.2, 0.3, 0.4, 0.5]) 
     
# using np.lag2poly() method 
res = geek.lag2poly(c) 
  
# Resulting equivalent polynomial series coefficient
print (res) 

输出:

[ 1.5        -4.          2.25       -0.4         0.02083333]

代码#2：

# Python program explaining
# numpy.lag2poly() method 
    
# importing numpy as np  
# and numpy.polynomial.laguerre module as geek 
import numpy as np 
import numpy.polynomial.laguerre as geek
    
# Input laguerre series coefficients
  
c = ( 1, 2, 3, 4, 5)
     
# using np.lag2poly() method 
res = geek.lag2poly(c) 
  
# Resulting equivalent polynomial series coefficient
print (res) 

输出:

[ 15.         -40.          22.5         -4.           0.20833333]