numpy.cbrt(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'cbrt'>
Return the cube-root of an array, element-wise.
x : array_like
The values whose cube-roots are required.
out : ndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or
None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
where : array_like, optional
This condition is broadcast over the input. At locations where the condition is True, the
out array will be set to the ufunc result. Elsewhere, the
out array will retain its original value. Note that if an uninitialized
out array is created via the default
out=None, locations within it where the condition is False will remain uninitialized.
For other keyword-only arguments, see the ufunc docs.
y : ndarray
An array of the same shape as
x, containing the cube cube-root of each element in
out was provided,
y is a reference to it. This is a scalar if
x is a scalar.
array([ 1., 2., 3.])