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Python - Numpy np.laggrid2d()用法及代码示例

np.laggrid2d()方法用于评估x和y的笛卡尔积的二维Laguerre级数。

用法: np.laggrid2d(x, y, c)
参数:
x, y :[array_like]The two dimensional series is evaluated at the points in the Cartesian product of x and y. If x or y 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.

返回:[ndarray]二维Chebyshev系列在x和y的笛卡尔积上的点的值。


代码1:

# Python program explaining 
# numpy.laggrid2d() method  
  
# importing numpy as np 
  
import numpy as np  
from numpy.polynomial.laguerre import laggrid2d 
  
# Input laguerre series coefficients 
c = np.array([[1, 3, 5], [2, 4, 6]])  
  
# using np.laggrid2d() method  
ans = laggrid2d([7, 9], [8, 10], c) 
print(ans)
输出:
[[ -391.  -783.]
 [ -543. -1087.]]

代码2:

# Python program explaining 
# numpy.laggrid2d() method  
  
# importing numpy as np  
import numpy as np  
from numpy.polynomial.laguerre import laggrid2d 
  
# Input laguerre series coefficients 
c = np.array([[1, 3, 5], [2, 4, 6]])  
  
# using np.laggrid2d() method  
ans = laggrid2d(7, 8, c) 
  
print(ans)
输出:
-391.0


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