numpy.ndarray.newbyteorder — NumPy v1.13 Manual (original) (raw)

ndarray. 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.

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.