Python | Numpy np.lag2poly()方法
原文:https://www . geesforgeks . org/python-numpy-NP-lag 2 poly-method/
**np.lag2poly()**方法用于将拉盖尔级数转化为多项式。
语法:
np.lag2poly(c)参数: c:【array _ like】从低到高排序的拉盖尔级数系数一维数组。返回:【n 数组】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)
Output:
[ 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)
Output:
[ 15\. -40\. 22.5 -4\. 0.20833333]
