numpoly.hstack

numpoly.hstack(tup: Sequence[numpoly.typing.PolyLike]) → numpoly.baseclass.ndpoly

Stack arrays in sequence horizontally (column wise).

This is equivalent to concatenation along the second axis, except for 1-D arrays where it concatenates along the first axis. Rebuilds arrays divided by hsplit.

This function makes most sense for arrays with up to 3 dimensions. For instance, for pixel-data with a height (first axis), width (second axis), and r/g/b channels (third axis). The functions concatenate, stack and block provide more general stacking and concatenation operations.

Args:

tup:

The arrays must have the same shape along all but the second axis, except 1-D arrays which can be any length.

Return:

The array formed by stacking the given arrays.

Example:

>>> poly1 = numpoly.variable(3)
>>> const1 = numpoly.polynomial([1, 2, 3])
>>> numpoly.hstack([poly1, const1])
polynomial([q0, q1, q2, 1, 2, 3])
>>> const2 = numpoly.polynomial([[1], [2], [3]])
>>> poly2 = poly1.reshape(3, 1)
>>> numpoly.hstack([const2, poly2])
polynomial([[1, q0],
            [2, q1],
            [3, q2]])