Related Articles

# Python | Numpy np.polygrid2d() method

• Last Updated : 29 Dec, 2019

`np.polygrid2d()` method is used to evaluate a 2-D polynomial series on the Cartesian product of x and y.

Syntax : `np.polygrid2d(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]arrays of coefficient polynomial series.
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.polygrid2d() method `` ` `# importing numpy as np`` ` `import` `numpy as np ``from` `numpy.polynomial.polynomial ``import` `polygrid2d`` ` `# Input polynomial series coefficients``c ``=` `np.array([[``1``, ``3``, ``5``], [``2``, ``4``, ``6``]]) `` ` `# using np.polygrid2d() method ``ans ``=` `polygrid2d([``7``, ``9``], [``8``, ``10``], c)``print``(ans)`
Output:
```[[ 3271.  5025.]
[ 4107.  6309.]]

```

Code #2 :

 `# Python program explaining``# numpy.polygrid2d() method `` ` `# importing numpy as np ``import` `numpy as np ``from` `numpy.polynomial.polynomial ``import` `polygrid2d`` ` `# Input polynomial series coefficients``c ``=` `np.array([[``1``, ``3``, ``5``], [``2``, ``4``, ``6``]]) `` ` `# using np.polygrid2d() method ``ans ``=` `polygrid2d(``7``, ``8``, c)`` ` `print``(ans)`
Output:
```3271.0

```

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up