`numpy.polynomial.polynomial:polygrid3d`

source: build-install/usr/lib/python3.14/site-packages/numpy/polynomial/polynomial.py :1015

Signature

def polygrid3d ( x , y , z , c )

Summary

Evaluate a 3-D polynomial on the Cartesian product of x, y and z.

Extended Summary

This function returns the values:

p (a, b, c) = i, j, k \sum c_{i, j, k} * a^{i} * b^{j} * c^{k}

where the points (a, b, c) consist of all triples formed by taking a from x, b from y, and c from z. The resulting points form a grid with x in the first dimension, y in the second, and z in the third.

The parameters x, y, and z are converted to arrays only if they are tuples or a lists, otherwise they are treated as a scalars. In either case, either x, y, and z or their elements must support multiplication and addition both with themselves and with the elements of c.

If c has fewer than three dimensions, ones are implicitly appended to its shape to make it 3-D. The shape of the result will be c.shape[3:] + x.shape + y.shape + z.shape.

Parameters

x, y, z : array_like, compatible objects: The three dimensional series is evaluated at the points in the Cartesian product of x, y, and z. If x, 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: Array of coefficients ordered so that the coefficients for terms of degree i,j are contained in c[i,j]. If c has dimension greater than two the remaining indices enumerate multiple sets of coefficients.

Returns

values : ndarray, compatible object: The values of the two dimensional polynomial at points in the Cartesian product of x and y.

Examples

from numpy.polynomial import polynomial as P
c = ((1, 2, 3), (4, 5, 6), (7, 8, 9))
P.polygrid3d([0, 1], [0, 1], [0, 1], c)

✓

Aliases

numpy.polynomial.polynomial.polygrid3d