# elemwise¶

sparse.elemwise(func, *args, **kwargs)[source]

Apply a function to any number of arguments.

Parameters: func (Callable) – The function to apply. Must support broadcasting. args (tuple, optional) – The arguments to the function. Can be SparseArray objects or scipy.sparse.spmatrix objects. kwargs (dict, optional) – Any additional arguments to pass to the function. The result of applying the function. COO ValueError – If the operation would result in a dense matrix, or if the operands don’t have broadcastable shapes.

numpy.ufunc
A similar Numpy construct. Note that any ufunc can be used as the func input to this function.
Previously, operations with Numpy arrays were sometimes supported. Now, it is necessary to convert Numpy arrays to COO objects.