Python Numpy np.lagpow()方法

np.lagpow()方法用于将一个拉盖尔数列提升到一个给定的幂。它返回提升到幂pow的拉盖尔数列c。

语法: np.lagpow(c, pow, maxpower=16)
参数:
c : [array_like] 拉盖尔数列系数的一维数组，从低到高排序。
pow : [integer] 系列将被提升到的功率。
maxpower : [integer, optional] 允许的最大功率。默认为16。

返回： [ndarray] 拉盖尔数列的功率。

代码#1：

# Python program explaining
# numpy.lagpow() 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
  
s = (2, 4, 8) 
     
# using np.lagpow() method 
res = geek.lagpow(s, pow = 3) 
  
# Resulting laguerre series coefficient
print (res)

输出:

[   3176.  -25680.  100512. -206592.  246528. -161280.   46080.]

代码#2：

# Python program explaining
# numpy.lagpow() method 
    
# importing numpy as np  
# and numpy.polynomial.laguerre module as geek 
import numpy as np 
import numpy.polynomial.laguerre as geek
    
# Laguerre series coefficients
s = (1, 2, 3, 4, 5) 
  
    
# using np.lagpow() method 
res = geek.lagpow(s, pow = 4) 
  
# Resulting laguerre series
print (res)

输出:

[  1.88268525e+08  -4.12583040e+09   4.24806624e+10  -2.72789533e+11
   1.22285197e+12  -4.05794076e+12   1.03122236e+13  -2.04726003e+13
   3.20914270e+13  -3.98546302e+13   3.90872742e+13  -2.99578594e+13
   1.75922875e+13  -7.65283919e+12   2.32607876e+12  -4.41441000e+11
   3.94143750e+10]