import numpy as np
from numpy.polynomial import legendre as L

c = np.array([[3,4],[5,6]])

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",L.legval2d([1,2],[1,2],c))

import numpy as np
from numpy.polynomial import legendre as L

# Create a multidimensional array of coefficients
c = np.array([[3,4],[5,6]])

# Display the array
print("Our Array...\n",c)

# Check the Dimensions
print("\nDimensions of our Array...\n",c.ndim)

# Get the Datatype
print("\nDatatype of our Array object...\n",c.dtype)

# Get the Shape
print("\nShape of our Array object...\n",c.shape)

# To evaluate a 2D Legendre series at points x, y, use the polynomial.legendre.legval2d() method in Python Numpy
print("\nResult...\n",L.legval2d([1,2],[1,2],c))

我们的数组...
  [[3 4]
  [5 6]]

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...
  [18. 45.]