scipy.sparse.dia_matrix.astype¶

dia_matrix.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.