Python Numpy np.legub()方法
np.legub() 方法用于将一个勒格德尔数列减去另一个。它返回两个勒格德尔数列 c1 – c2的差。
语法 : np.legub(c1, c2)
参数:
c1, c2 : [ array_like ] Legendre系列系数的一维数组,从低到高排序。
返回: [ndarray] Legendre数列系数,代表它们的差异。
代码#1:
# Python program explaining
# numpy.legsub() method
# importing numpy as np
# and numpy.polynomial.legendre module as geek
import numpy as np
import numpy.polynomial.legendre as geek
# Legendre series coefficients
s1 = (2, 4, 8)
s2 = (1, 3, 5)
# using np.legsub() method
res = geek.legsub(s1, s2)
# Resulting Legendre series
print (res)
输出:
[ 1. 1. 3.]
代码#2:
# Python program explaining
# numpy.legub() method
# importing numpy as np
# and numpy.polynomial.legendre module as geek
import numpy as np
import numpy.polynomial.legendre as geek
# Legendre series coefficients
s1 = (10, 20, 30, 40, 50)
s2 = (2, 4, 6, 8, 10)
# using np.legsub() method
res = geek.legsub(s1, s2)
# Resulting Legendre series
print (res)
输出:
[ 8. 16. 24. 32. 40.]