scipy.sparse.spmatrix.astype¶

spmatrix.astype(dtype, casting='unsafe', copy=True)[source]¶

Cast the matrix elements to a specified type.

Parameters:

Parameters:	dtype : string or numpy dtype Typecode or data-type to which to cast the data. casting : {‘no’, ‘equiv’, ‘safe’, ‘same_kind’, ‘unsafe’}, optional Controls what kind of data casting may occur. Defaults to ‘unsafe’ for backwards compatibility. ‘no’ means the data types should not be cast at all. ‘equiv’ means only byte-order changes are allowed. ‘safe’ means only casts which can preserve values are allowed. ‘same_kind’ means only safe casts or casts within a kind, like float64 to float32, are allowed. ‘unsafe’ means any data conversions may be done. copy : bool, optional If `copy` is False, the result might share some memory with this matrix. If `copy` is True, it is guaranteed that the result and this matrix do not share any memory.

dtype : string or numpy dtype: Typecode or data-type to which to cast the data.
casting : {‘no’, ‘equiv’, ‘safe’, ‘same_kind’, ‘unsafe’}, optional: Controls what kind of data casting may occur. Defaults to ‘unsafe’ for backwards compatibility. ‘no’ means the data types should not be cast at all. ‘equiv’ means only byte-order changes are allowed. ‘safe’ means only casts which can preserve values are allowed. ‘same_kind’ means only safe casts or casts within a kind, like float64 to float32, are allowed. ‘unsafe’ means any data conversions may be done.
copy : bool, optional: If copy is False, the result might share some memory with this matrix. If copy is True, it is guaranteed that the result and this matrix do not share any memory.