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.

Returns

The result of applying the function.

Return type

SparseArray

Raises

ValueError – If the operation would result in a dense matrix, or if the operands don’t have broadcastable shapes.

See also

numpy.ufunc

A similar Numpy construct. Note that any ufunc can be used as the func input to this function.

Notes

Previously, operations with Numpy arrays were sometimes supported. Now, it is necessary to convert Numpy arrays to COO objects.