Python | Numpy np.legvander2d() method

Last Updated : 31 Dec, 2019

With the help of np.legvander2d() method, we can get the Pseudo-Vandermonde matrix from given array having degree which is passed as parameter by using np.legvander2d() method.

Syntax : np.legvander2d(x, y, deg) Parameters: x, y :[ array_like ] Array of points. The dtype is converted to float64 or complex128 depending on whether any of the elements are complex. If x is scalar it is converted to a 1-D array deg :[int] Degree of the resulting matrix. Return : Return the matrix having size i.e array.size + (degree + 1).

Example #1 : In this example we can see that by using np.legvander2d() method, we are able to get the pseudo-vandermonde matrix using this method.

Python3 1=1

# import numpy
import numpy as np
import numpy.polynomial.legendre as geek

# using np.legvander() method
ans = geek.legvander2d((1, 3, 5, 7), (2, 4, 6, 8), [2, 2])

print(ans)

Output :

[[ 1.00000000e+00 2.00000000e+00 5.50000000e+00 1.00000000e+00 2.00000000e+00 5.50000000e+00 1.00000000e+00 2.00000000e+00 5.50000000e+00] [ 1.00000000e+00 4.00000000e+00 2.35000000e+01 3.00000000e+00 1.20000000e+01 7.05000000e+01 1.30000000e+01 5.20000000e+01 3.05500000e+02] [ 1.00000000e+00 6.00000000e+00 5.35000000e+01 5.00000000e+00 3.00000000e+01 2.67500000e+02 3.70000000e+01 2.22000000e+02 1.97950000e+03] [ 1.00000000e+00 8.00000000e+00 9.55000000e+01 7.00000000e+00 5.60000000e+01 6.68500000e+02 7.30000000e+01 5.84000000e+02 6.97150000e+03]]

Example #2 :

Python3 1=1

# import numpy
import numpy as np
import numpy.polynomial.legendre as geek

ans = geek.legvander2d((1, 2, 3, 4), (5, 6, 7, 8), [3, 3])

print(ans)

Output :

[[ 1.00000000e+00 5.00000000e+00 3.70000000e+01 3.05000000e+02 1.00000000e+00 5.00000000e+00 3.70000000e+01 3.05000000e+02 1.00000000e+00 5.00000000e+00 3.70000000e+01 3.05000000e+02 1.00000000e+00 5.00000000e+00 3.70000000e+01 3.05000000e+02] [ 1.00000000e+00 6.00000000e+00 5.35000000e+01 5.31000000e+02 2.00000000e+00 1.20000000e+01 1.07000000e+02 1.06200000e+03 5.50000000e+00 3.30000000e+01 2.94250000e+02 2.92050000e+03 1.70000000e+01 1.02000000e+02 9.09500000e+02 9.02700000e+03] [ 1.00000000e+00 7.00000000e+00 7.30000000e+01 8.47000000e+02 3.00000000e+00 2.10000000e+01 2.19000000e+02 2.54100000e+03 1.30000000e+01 9.10000000e+01 9.49000000e+02 1.10110000e+04 6.30000000e+01 4.41000000e+02 4.59900000e+03 5.33610000e+04] [ 1.00000000e+00 8.00000000e+00 9.55000000e+01 1.26800000e+03 4.00000000e+00 3.20000000e+01 3.82000000e+02 5.07200000e+03 2.35000000e+01 1.88000000e+02 2.24425000e+03 2.97980000e+04 1.54000000e+02 1.23200000e+03 1.47070000e+04 1.95272000e+05]]