We have seen that the data stored in the memory of a computer depends on which architecture the CPU uses. It may be little-endian (least significant is stored in the smallest address) or big-endian (most significant byte in the smallest address).
The numpy.ndarray.byteswap() function toggles between the two representations: bigendian and little-endian.
import numpy as np a = np.array([1, 256, 8755], dtype = np.int16) print 'Our array is:' print a print 'Representation of data in memory in hexadecimal form:' print map(hex,a) # byteswap() function swaps in place by passing True parameter print 'Applying byteswap() function:' print a.byteswap(True) print 'In hexadecimal form:' print map(hex,a) # We can see the bytes being swapped
It will produce the following output −
Our array is: [1 256 8755] Representation of data in memory in hexadecimal form: ['0x1', '0x100', '0x2233'] Applying byteswap() function: [256 1 13090] In hexadecimal form: ['0x100', '0x1', '0x3322']