Python | Numpy np.hermvander2d() method
With the help of np.hermvander2d() method, we can get the 2-D pseudo vandermonde matrix from hermite series of given degree by using np.hermvander2d() method.
Syntax :
np.hermvander2d(x, y, deg)
Return : Return the 2-D pseudo vandermonde matrix of given degree.
Example #1 :
In this example we can see that by using np.hermvander2d() method, we are able to get the 2-D pseudo vandermonde matrix of hermite series by using this method.
# import numpy and hermvander2d import numpy as np from numpy.polynomial.hermite import hermvander2d x = np.array([1, 2]) y = np.array([-1, -2]) x_deg, y_deg = 2, 2 # using np.hermvander2d() method gfg = hermvander2d(x, y, [x_deg, y_deg]) print(gfg) |
Output :
[[ 1. -2. 2. 2. -4. 4. 2. -4. 4.] [ 1. -4. 14. 4. -16. 56. 14. -56. 196.]]
Example #2 :
# import numpy and hermvander2d import numpy as np from numpy.polynomial.hermite import hermvander2d x = np.array([0.5, 0.10, 0.10, 0.5]) y = np.array([1, 2, 3, 5]) x_deg, y_deg = 1, 1 # using np.hermvander2d() method gfg = hermvander2d(x, y, [x_deg, y_deg]) print(gfg) |
Output :
[[ 1. 2. 1. 2. ] [ 1. 4. 0.2 0.8] [ 1. 6. 0.2 1.2] [ 1. 10. 1. 10. ]]
