Python | Numpy np.lagdiv()方法
原文:https://www . geesforgeks . org/python-numpy-NP-lag div-method/
**np.lagdiv()**法是将一个拉盖尔级数划分为另一个。它返回两个拉盖尔级数 c1 / c2.的余数商
语法:
np.lagdiv(c1, c2)参数: c1、C2:【array _ like】从低到高排序的拉盖尔级数系数一维数组。返回:【ndarray】代表商和余数的拉盖尔级数系数。
代码#1 :
# Python program explaining
# numpy.lagdiv() 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
s1 = (2, 4, 8)
s2 = (1, 3, 5)
# using np.lagdiv() method
res = geek.lagdiv(s1, s2)
# Resulting laguerre series
print (res)
Output:
(array([ 1.6]), array([ 0.4, -0.8]))
代码#2 :
# Python program explaining
# numpy.lagdiv() 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
s1 = (10, 20, 30, 40, 50)
s2 = (2, 4, 6, 8, 10)
# using np.lagdiv() method
res = geek.lagdiv(s1, s2)
# Resulting laguerre series
print (res)
Output:
(array([ 5.]), array([ 0.]))
