# Python | Numpy np.polygrid3d() method

`np.polygrid3d()` method is used to evaluate a 3-D polynomial series on the Cartesian product of x, y and z.

Syntax : `np.polygrid3d(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] polynomial series coefficients.

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

Code #1 :

 `# Python program explaining ` `# numpy.polygrid3d() method  ` ` `  `# importing numpy as np ` ` `  `import` `numpy as np  ` `from` `numpy.polynomial.polynomial ``import` `polygrid3d ` ` `  `# Input polynomial series coefficients ` `c ``=` `np.array([[``1``, ``3``, ``5``], [``2``, ``4``, ``6``], [``10``, ``11``, ``12``]])  ` ` `  `# using np.polygrid3d() method  ` `ans ``=` `polygrid3d([``7``, ``9``], [``8``, ``10``], [``5``, ``6``], c) ` `print``(ans) `

Output:

```[[ 416970.  491223.]
[ 635850.  749079.]]
```

Code #2 :

 `# Python program explaining ` `# numpy.polygrid3d() method  ` ` `  `# importing numpy as np  ` `import` `numpy as np  ` `from` `numpy.polynomial.polynomial ``import` `polygrid3d ` ` `  `# Input polynomial series coefficients ` `c ``=` `np.array([[``1``, ``3``, ``5``], [``2``, ``4``, ``6``], [``10``, ``11``, ``12``]])  ` ` `  `# using np.polygrid3d() method  ` `ans ``=` `polygrid3d(``7``, ``11``, ``12``, c) ` ` `  `print``(ans) `

Output:

```83610.0
```

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