scipy.special.cbrt#

scipy.special.cbrt(x, out=None) = <ufunc 'cbrt'>#

Element-wise cube root of x.

Parameters:

xarray_like: x must contain real numbers.
outndarray, optional: Optional output array for the function values

Returns:

scalar or ndarray: The cube root of each value in x.

Notes

Array API Standard Support

cbrt has support for Python Array API Standard compatible backends in addition to NumPy. The following combinations of backend and device (or other capability) are supported.

Library	CPU	GPU
NumPy	✅	n/a
CuPy	n/a	✅
PyTorch	✅	⛔
JAX	✅	⛔
Dask	✅	n/a

For the NumPy backend, this function supports all NumPy ufunc keyword arguments. Other backends may support out, but none of the other ufunc kwargs. out is typically supported for CuPy and PyTorch, but not currently in cases where SciPy relies on a generic Array API implementation or, for PyTorch on CPU, falls back to the NumPy backend. out is never supported for JAX because JAX arrays are immutable. cbrt does not currently support out for the PyTorch backend.

See Support for the array API standard for more information.

Examples

>>> from scipy.special import cbrt

>>> cbrt(8)
2.0
>>> cbrt([-8, -3, 0.125, 1.331])
array([-2.        , -1.44224957,  0.5       ,  1.1       ])