numpoly.count_nonzero

numpoly.count_nonzero(x: numpoly.typing.PolyLike, axis: Union[None, int, Sequence[int]] = None, **kwargs: Any) → Union[int, numpy.ndarray]

Count the number of non-zero values in the array a.

Args:

x:

The array for which to count non-zeros.

axis: (Union[int, Tuple[int], None]):

Axis or tuple of axes along which to count non-zeros. Default is None, meaning that non-zeros will be counted along a flattened version of a.

Return:

Number of non-zero values in the array along a given axis. Otherwise, the total number of non-zero values in the array is returned.

Example:

>>> q0, q1 = numpoly.variable(2)
>>> numpoly.count_nonzero([q0])
1
>>> numpoly.count_nonzero([[0, q0*q0, 0, 0],
...                        [q0+1, 0, 2*q0, 7*q0]])
4
>>> numpoly.count_nonzero([[0, q0+q1, 0, 0],
...                        [3*q1, 0, 2, 7*q0]], axis=0)
array([1, 1, 1, 1])
>>> numpoly.count_nonzero([[0, q1, 0, 0],
...                        [q0, 0, 2*q0, 6*q1]], axis=1)
array([1, 3])