Evaluate a 2-D Hermite_e series on the Cartesian product of x and y in Python

To evaluate a 2-D Hermite_e series on the Cartesian product of x and y, use the hermite.hermegrid2d(x, y, c) method in Python. The method returns the values of the two dimensional polynomial at points in the Cartesian product of x and y.

The parameters are x, y. 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.

The parameter, c is an array of coefficients ordered so that the coefficients for terms of degree i,j are contained in c[i,j]. If c has dimension greater than two the remaining indices enumerate multiple sets of coefficients.

If c has fewer than two dimensions, ones are implicitly appended to its shape to make it 2-D. The shape of the result will be c.shape[2:] + x.shape.

Steps

At first, import the required library −

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("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 2-D Hermite_e series on the Cartesian product of x and y, use the hermite.hermegrid2d(x, y, c) method −

print("\nResult...\n",H.hermegrid2d([1,2],[1,2], c))

Example

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("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 2-D Hermite_e series on the Cartesian product of x and y, use the hermite.hermegrid2d(x, y, c) method in Python
print("\nResult...\n",H.hermegrid2d([1,2],[1,2], c))

Output

Our Array...
   [[0 1]
   [2 3]]

Dimensions of our Array...
2

Datatype of our Array object...
int64

Shape of our Array object...
(2, 2)

Result...
   [[ 6. 10.]
   [11. 18.]]