numpoly.repeat¶

numpoly.repeat(a: numpoly.typing.PolyLike, repeats: Union[numpy._typing._array_like._SupportsArray[numpy.dtype], numpy._typing._nested_sequence._NestedSequence[numpy._typing._array_like._SupportsArray[numpy.dtype]], bool, int, float, complex, str, bytes, numpy._typing._nested_sequence._NestedSequence[Union[bool, int, float, complex, str, bytes]]], axis: int = 0) → numpoly.baseclass.ndpoly [source]¶

Repeat elements of an array.

Args:

a:: Input array.
repeats:: The number of repetitions for each element. repeats is broadcasted to fit the shape of the given axis.
axis:: The axis along which to repeat values. By default, use the flattened input array, and return a flat output array.

Return:

Output array which has the same shape as a, except along the given axis.

Example:

>>> q0 = numpoly.variable()
>>> numpoly.repeat(q0, 4)
polynomial([q0, q0, q0, q0])
>>> poly = numpoly.polynomial([[1, q0-1], [q0**2, q0]])
>>> numpoly.repeat(poly, 2)
polynomial([[1, q0-1],
            [1, q0-1],
            [q0**2, q0],
            [q0**2, q0]])
>>> numpoly.repeat(poly, 3, axis=1)
polynomial([[1, 1, 1, q0-1, q0-1, q0-1],
            [q0**2, q0**2, q0**2, q0, q0, q0]])
>>> numpoly.repeat(poly, [1, 2], axis=0)
polynomial([[1, q0-1],
            [q0**2, q0],
            [q0**2, q0]])