Python | Numpy np.laggrid2d() method

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 :

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# Python program explaining
# numpy.laggrid2d() method 
  
# importing numpy as np
  
import numpy as np 
from numpy.polynomial.laguerre import laggrid2d
  
# Input laguerre series coefficients
c = np.array([[1, 3, 5], [2, 4, 6]]) 
  
# using np.laggrid2d() method 
ans = laggrid2d([7, 9], [8, 10], c)
print(ans)

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Output:



[[ -391.  -783.]
 [ -543. -1087.]]

 

Code #2 :

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# Python program explaining
# numpy.laggrid2d() method 
  
# importing numpy as np 
import numpy as np 
from numpy.polynomial.laguerre import laggrid2d
  
# Input laguerre series coefficients
c = np.array([[1, 3, 5], [2, 4, 6]]) 
  
# using np.laggrid2d() method 
ans = laggrid2d(7, 8, c)
  
print(ans)

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Output:

-391.0



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