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Python | Numpy np.laggrid3d() method

• Last Updated : 29 Dec, 2019

`np.laggrid3d()` method is used to evaluate a 3-D Laguerre series on the Cartesian product of x, y and z.

Syntax : `np.laggrid3d(x, y, z, c)`
Parameters:
x, y, z :[array_like]The three dimensional series is evaluated at the points in the Cartesian product of x, y and z. If x or y or z is a list or tuple, it is first converted to an ndarray, otherwise it is left unchanged and, if it isnâ€™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 :

 `# Python program explaining``# numpy.laggrid3d() method `` ` `# importing numpy as np`` ` `import` `numpy as np ``from` `numpy.polynomial.laguerre ``import` `laggrid3d`` ` `# Input laguerre series coefficients``c ``=` `np.array([[``1``, ``3``, ``5``], [``2``, ``4``, ``6``], [``10``, ``11``, ``12``]]) `` ` `# using np.laggrid3d() method ``ans ``=` `laggrid3d([``7``, ``9``], [``8``, ``10``], [``5``, ``6``], c)``print``(ans)`
Output:

```[[ -9521.5 -12198. ]
[-19782.5 -25346. ]]
```

Code #2 :

 `# Python program explaining``# numpy.laggrid3d() method `` ` `# importing numpy as np ``import` `numpy as np ``from` `numpy.polynomial.laguerre ``import` `laggrid3d`` ` `# Input laguerre series coefficients``c ``=` `np.array([[``1``, ``3``, ``5``], [``2``, ``4``, ``6``], [``10``, ``11``, ``12``]]) `` ` `# using np.laggrid3d() method ``ans ``=` `laggrid3d(``7``, ``11``, ``12``, c)`` ` `print``(ans)`
Output:
```3275.5
```

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