Python | Numpy np.lagder()方法
原文:https://www . geesforgeks . org/python-numpy-NP-lag der-method/
**np.lagroots()**方法用于区分一个拉盖尔系列。
语法:
np.lagder(c, m=1, scl=1, axis=0)参数: c:【array _ like】从低到高排序的拉盖尔级数系数一维数组。 m:【int，可选】取的导数个数，必须非负。默认值为 1。 scl : 【标量，可选】每次微分都乘以 scl。默认值为 1。 轴:【int，可选】取导数的轴。默认值为 0。返回:【ndarray】导数的拉盖尔级数。
代码#1 :
# Python program explaining
# numpy.lagder() 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.lagder() method
res = geek.lagder(s)
# Resulting laguerre series coefficient
print (res)
Output:
[-12\. -8.]
代码#2 :
# Python program explaining
# numpy.lagder() 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.lagder() method
res = geek.lagder(s, m = 2, scl = 0.5)
# Resulting laguerre series
print (res)
Output:
[ 6.5 3.5 1.25]
