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Python - Numpy np.lag2poly()用法及代码示例

np.lag2poly()方法用于将Laguerre级数转换为多项式。

用法: np.lag2poly(c)
参数:
c :[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high.

返回:[ndarray]包含等效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]



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注:本文由纯净天空筛选整理自jana_sayantan大神的英文原创作品 Python | Numpy np.lag2poly() method。非经特殊声明,原始代码版权归原作者所有,本译文的传播和使用请遵循“署名-相同方式共享 4.0 国际 (CC BY-SA 4.0)”协议。