This is documentation for an old release of NumPy (version 1.16). Read this page in the documentation of the latest stable release (version 2.2).
numpy.matrix.newbyteorder¶
method
-
matrix.
newbyteorder
(new_order='S')¶ Return the array with the same data viewed with a different byte order.
Equivalent to:
arr.view(arr.dtype.newbytorder(new_order))
Changes are also made in all fields and sub-arrays of the array data type.
Parameters: - new_order : string, optional
Byte order to force; a value from the byte order specifications below. new_order codes can be any of:
- ‘S’ - swap dtype from current to opposite endian
- {‘<’, ‘L’} - little endian
- {‘>’, ‘B’} - big endian
- {‘=’, ‘N’} - native order
- {‘|’, ‘I’} - ignore (no change to byte order)
The default value (‘S’) results in swapping the current byte order. The code does a case-insensitive check on the first letter of new_order for the alternatives above. For example, any of ‘B’ or ‘b’ or ‘biggish’ are valid to specify big-endian.
Returns: - new_arr : array
New array object with the dtype reflecting given change to the byte order.