Python Numpy np.lagsub()方法
np.lagub()方法用于将一个拉盖尔数列减去另一个。它返回两个拉盖尔数列的差值 c1 – c2。
语法:np.lagub(c1, c2)
参数:
c1, c2 : [ array_like ] 拉盖尔数列系数的一维数组,从低到高排序。
返回: [ndarray] 拉盖尔数列系数,代表它们的差值。
代码#1:
# Python program explaining
# numpy.lagsub() 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.lagsub() method
res = geek.lagsub(s1, s2)
# Resulting laguerre series
print (res)
输出:
[ 1. 1. 3.]
代码#2:
# Python program explaining
# numpy.lagub() 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.lagsub() method
res = geek.lagsub(s1, s2)
# Resulting laguerre series
print (res)
输出:
[ 8. 16. 24. 32. 40.]