With the help of np.hermevander2d() method, we can get the pseudo vandermonde matrix of a given 2-D data having degrees x and y by using np.hermevander2d() method.
Syntax :
np.hermevander2d(x, y, [x_deg, y_deg])
Return : Return the pseudo vandermonde matrix of given 2-D data.
Example #1 :
In this example we can see that by using np.hermevander2d() method, we are able to get the pseudo vandermonde matrix of a given 2-D data having degree (x, y) by using this method.
# import numpy and hermevander2d import numpy as np from numpy.polynomial.hermite_e import hermevander2d   x = np.array([0.1, 0.2]) y = np.array([2, 0.2]) x_deg, y_deg = 2, 3# using np.hermevander2d() method gfg = hermevander2d(x, y, [x_deg, y_deg])   print(gfg) |
Output :
[[ 1. 2. 3. 2. 0.1 0.2 0.3 0.2
-0.99 -1.98 -2.97 -1.98 ]
[ 1. 0.2 -0.96 -0.592 0.2 0.04 -0.192 -0.1184
-0.96 -0.192 0.9216 0.56832]]
Example #2 :
# import numpy and hermevander2d import numpy as np from numpy.polynomial.hermite_e import hermevander2d   x = np.array([1.01, 2.02, 3.03]) y = np.array([10.1, 20.2, 30.3]) x_deg, y_deg = 1, 1# using np.hermevander2d() method gfg = hermevander2d(x, y, [x_deg, y_deg])   print(gfg) |
Output :
[[ 1. 10.1 1.01 10.201]
[ 1. 20.2 2.02 40.804]
[ 1. 30.3 3.03 91.809]]
