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

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

print("我们的数组...\n",c)

print("\n我们的数组维度...\n",c.ndim)

print("\n我们的数组对象的数据类型...\n",c.dtype)

print("\n我们的数组对象的形状...\n",c.shape)

print("\n结果...\n",H.hermegrid3d([1,2],[1,2],[1,2],c))

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

# Create a 2d array of coefficients
c = np.arange(4).reshape(2,2)

# Display the array
print("我们的数组...\n",c)

# Check the Dimensions
print("\n我们的数组维度...\n",c.ndim)

# Get the Datatype
print("\n我们的数组对象的数据类型...\n",c.dtype)

# Get the Shape
print("\n我们的数组对象的形状...\n",c.shape)

# To evaluate a 3-D Hermite_e series on the Cartesian product of x, y and z, use the hermite_e.hermegrid3d(x, y, z, c) method in Python
print("\n结果...\n",H.hermegrid3d([1,2],[1,2],[1,2],c))

我们的数组...
   [[0 1]
   [2 3]]

我们的数组维度...
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...
   [[17. 28.]
   [28. 46.]]