import numpy as np
from numpy.polynomial import hermite as H

c = np.arange(4).reshape(2,2)

print("Our Array...\n",c)

print("\nDimensions of our Array...\n",c.ndim)

print("\nDatatype of our Array object...\n",c.dtype)

print("\nShape of our Array object...\n",c.shape)

print("\nResult...\n",H.hermval3d([1,2],[1,2],[1,2],c))

import numpy as np
from numpy.polynomial import hermite as H

#创建2D系数数组
c = np.arange(4).reshape(2,2)

#显示数组
print("Our Array...\n",c)

#检查维度
print("\nDimensions of our Array...\n",c.ndim)

#获取数据类型
print("\nDatatype of our Array object...\n",c.dtype)

#获取形状
print("\nShape of our Array object...\n",c.shape)

#要在点（x，y，z）处评估3D Hermite级数，请使用Python Numpy的hermite.hermval3d（）方法
print("\nResult...\n",H.hermval3d([1,2],[1,2],[1,2],c))

我们的数组...
    [[0 1]
 [2 3]]

我们的数组的尺寸...
2

我们的数组对象的数据类型...
int64

我们的数组对象的形状...
(2, 2)

结果...
[138. 258.]