np.legvander() method is used to returns the Vandermonde matrix of degree deg and sample points x.
Syntax :
np.legvander(x, deg)
Parameters:
x :[ 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.legvander() method, we are able to get the pseudo-vandermonde matrix using this method.
# import numpy import numpy as np import numpy.polynomial.legendre as geek # using np.legvander() method ans = geek.legvander((1, 3, 5, 7), 2) print(ans) |
Output :
[[ 1. 1. 1.]
[ 1. 3. 13.]
[ 1. 5. 37.]
[ 1. 7. 73.]]
Example #2 :
# import numpy import numpy as np import numpy.polynomial.legendre as geek ans = geek.legvander((1, 2, 3, 4), 3) print(ans) |
Output :
[[ 1. 1. 1. 1. ]
[ 1. 2. 5.5 17. ]
[ 1. 3. 13. 63. ]
[ 1. 4. 23.5 154. ]]
