SciPy

numpy.cbrt

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.

New in version 1.10.0.

Parameters:

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

Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.

**kwargs

For other keyword-only arguments, see the ufunc docs.

Returns:

y : ndarray

An array of the same shape as x, containing the cube cube-root of each element in x. If out was provided, y is a reference to it.

Examples

>>> np.cbrt([1,8,27])
array([ 1.,  2.,  3.])

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