can_cast

Determines if one data type can be cast to another data type

Parameters:

Name	Type	Description	Default
from_	dtype or SparseArray	Source array or dtype.	required
to	dtype	Destination dtype.	required
casting	str	Casting kind	'safe'

Returns:

Name	Type	Description
out	bool_	Whether or not a cast is possible.

Examples:

>>> x = sparse.ones((2, 3), dtype=sparse.int8)
>>> sparse.can_cast(x, sparse.float64)
True

See Also

• numpy.can_cast : NumPy equivalent function

Source code in sparse/numba_backend/_common.py

def can_cast(from_: SparseArray, to: np.dtype, /, *, casting: str = "safe") -> bool:
    """Determines if one data type can be cast to another data type

    Parameters
    ----------
    from_ : dtype or SparseArray
        Source array or dtype.
    to : dtype
        Destination dtype.
    casting: str
        Casting kind

    Returns
    -------
    out : bool
        Whether or not a cast is possible.

    Examples
    --------
    >>> x = sparse.ones((2, 3), dtype=sparse.int8)
    >>> sparse.can_cast(x, sparse.float64)
    True

    See Also
    --------
    - [`numpy.can_cast`][] : NumPy equivalent function
    """
    from_ = np.dtype(from_)

    return np.can_cast(from_, to, casting=casting)