Python Numpy np.polygrid3d()方法

np.polygrid3d()方法用于评估x、y和z的笛卡尔乘积上的3-D多项式序列。

语法: np.polygrid3d(x, y, z, c)
参数:
x, y, z : [array_like]三维数列在x、y和z的笛卡尔乘积中的各点进行评估。如果x或y或z是一个列表或元组，它首先被转换为一个ndarray，否则它将保持不变，如果它不是一个ndarray，它被当作一个标量。
c : [array_like] polynomial series coefficients.

返回 : [ndarray] 二维多项式数列在x和y的笛卡尔积中各点的值。

代码#1：

# Python program explaining
# numpy.polygrid3d() method 
  
# importing numpy as np
  
import numpy as np 
from numpy.polynomial.polynomial import polygrid3d
  
# Input polynomial series coefficients
c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]]) 
  
# using np.polygrid3d() method 
ans = polygrid3d([7, 9], [8, 10], [5, 6], c)
print(ans)

输出:

[[ 416970.  491223.]
 [ 635850.  749079.]]

代码#2：

# Python program explaining
# numpy.polygrid3d() method 
  
# importing numpy as np 
import numpy as np 
from numpy.polynomial.polynomial import polygrid3d
  
# Input polynomial series coefficients
c = np.array([[1, 3, 5], [2, 4, 6], [10, 11, 12]]) 
  
# using np.polygrid3d() method 
ans = polygrid3d(7, 11, 12, c)
  
print(ans)