Python| Numpy np.leggrid2d() 方法

np.leggrid2d()方法用于评估 x 和 y 的笛卡尔积上的二维 Legendre 系列。

Syntax : np.leggrid2d(x, y, c)
Parameters:
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 legendre series coefficients ordered from low to high.

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

代码#1：

# Python program explaining
# numpy.leggrid2d() method 
  
# importing numpy as np
  
import numpy as np 
from numpy.polynomial.legendre import leggrid2d
  
# Input legendre series coefficients
c = np.array([[1, 3, 5], [2, 4, 6]]) 
  
# using np.leggrid2d() method 
ans = leggrid2d([7, 9], [8, 10], c)
print(ans)

输出：

[[ 4751.5  7351.5]
 [ 5965.5  9229.5]]

代码#2：

# Python program explaining
# numpy.leggrid2d() method 
  
# importing numpy as np 
import numpy as np 
from numpy.polynomial.legendre import leggrid2d
  
# Input legendre series coefficients
c = np.array([[1, 3, 5], [2, 4, 6]]) 
  
# using np.leggrid2d() method 
ans = leggrid2d(7, 8, c)
  
print(ans)

输出：

4751.5