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# Python | Numpy np.leggrid3d() method

• Last Updated : 29 Dec, 2019

`np.leggrid3d()` method is used to evaluate a 3-D legendre series on the Cartesian product of x, y and z.

Syntax : `np.leggrid3d(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 isn’t an ndarray, it is treated as a scalar.
c :[array_like] legendre series coefficients.

Return : [ndarray] The values of the two dimensional legendre series at points in the Cartesian product of x and y.

Code #1 :

 `# Python program explaining``# numpy.leggrid3d() method `` ` `# importing numpy as np`` ` `import` `numpy as np ``from` `numpy.polynomial.legendre ``import` `leggrid3d`` ` `# Input legendre series coefficients``c ``=` `np.array([[``1``, ``3``, ``5``], [``2``, ``4``, ``6``], [``10``, ``11``, ``12``]]) `` ` `# using np.leggrid3d() method ``ans ``=` `leggrid3d([``7``, ``9``], [``8``, ``10``], [``5``, ``6``], c)``print``(ans)`
Output:

```[[  878011.   1034500.5]
[ 1351191.   1592014.5]]
```

Code #2 :

 `# Python program explaining``# numpy.leggrid3d() method `` ` `# importing numpy as np ``import` `numpy as np ``from` `numpy.polynomial.legendre ``import` `leggrid3d`` ` `# Input legendre series coefficients``c ``=` `np.array([[``1``, ``3``, ``5``], [``2``, ``4``, ``6``], [``10``, ``11``, ``12``]]) `` ` `# using np.leggrid3d() method ``ans ``=` `leggrid3d(``7``, ``11``, ``12``, c)`` ` `print``(ans)`
Output:
```176982.0
```

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