Python| Numpy np.laggrid3d() 方法

np.laggrid3d()方法用于评估 x、y 和 z 的笛卡尔积上的 3-D 拉盖尔级数。

Syntax : np.laggrid3d(x, y, z, c)
Parameters:
x, y, z :[array_like]The three dimensional series is evaluated at the points in the Cartesian product of x, y and z. If x or y or z is a list or tuple, it is first converted to an ndarray, otherwise it is left unchanged and, if it isn’t an ndarray, it is treated as a scalar.
c :[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high.

Return : [ndarray] The values of the two dimensional Chebyshev series at points in the Cartesian product of x and y.

代码#1：

# Python program explaining
# numpy.laggrid3d() method 
  
# importing numpy as np
  
import numpy as np 
from numpy.polynomial.laguerre import laggrid3d
  
# Input laguerre series coefficients
c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]]) 
  
# using np.laggrid3d() method 
ans = laggrid3d([7, 9], [8, 10], [5, 6], c)
print(ans)

输出：

[[ -9521.5 -12198. ]
 [-19782.5 -25346. ]]

代码#2：

# Python program explaining
# numpy.laggrid3d() method 
  
# importing numpy as np 
import numpy as np 
from numpy.polynomial.laguerre import laggrid3d
  
# Input laguerre series coefficients
c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]]) 
  
# using np.laggrid3d() method 
ans = laggrid3d(7, 11, 12, c)
  
print(ans)

输出：

3275.5