Python Numpy np.lagder()用法及代码示例

np.lagroots()方法用于区分Laguerre级数。

用法： np.lagder(c, m=1, scl=1, axis=0)

参数：

c :[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high.

m :[int, optional] Number of derivatives taken, must be non-negative.Default is 1.

scl :[scalar, optional] Each differentiation is multiplied by scl .Default is 1.

axis :[ int, optional] Axis over which the derivative is taken.Default is 0.

返回：[ndarray] Laguerre系列的导数。

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)

输出：

[-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)

输出：

[ 6.5   3.5   1.25]

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注：本文由纯净天空筛选整理自jana_sayantan大神的英文原创作品 Python | Numpy np.lagder() method。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。