Python | Numpy np.laggrid2d() method
Last Updated :
29 Dec, 2019
np.laggrid2d()
method is used to evaluate a 2-D Laguerre series on the Cartesian product of x and y.
Syntax : np.laggrid2d(x, y, c)
Parameters:
x, y :[array_like]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.
c :[array_like] 1-D arrays of Laguerre series coefficients ordered from low to high.
Return : [ndarray] The values of the two dimensional Chebyshev series at points in the Cartesian product of x and y.
Code #1 :
import numpy as np
from numpy.polynomial.laguerre import laggrid2d
c = np.array([[ 1 , 3 , 5 ], [ 2 , 4 , 6 ]])
ans = laggrid2d([ 7 , 9 ], [ 8 , 10 ], c)
print (ans)
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Output:
[[ -391. -783.]
[ -543. -1087.]]
Code #2 :
import numpy as np
from numpy.polynomial.laguerre import laggrid2d
c = np.array([[ 1 , 3 , 5 ], [ 2 , 4 , 6 ]])
ans = laggrid2d( 7 , 8 , c)
print (ans)
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