The numpy.ndarray.byteswap() function
Swap the bytes of the array elements
Toggle between low-endian and big-endian data representation by returning a byteswapped array, optionally swapped in-place. Arrays of byte-strings are not swapped. The real and imaginary parts of a complex number are swapped individually.
Parameters inplacebool, optional
If True, swap bytes in-place, default is False. Returns outndarray The byteswapped array. If inplace is True, this is a view to self.
import numpy as np a = np.array([1, 256, 8755], dtype = np.int16) print ('Our array is:') print (a) print ('\n') print ('Representation of data in memory in hexadecimal form:') print (map(hex,a)) print ('\n') # byteswap() function swaps in place by passing True parameter print ('Applying byteswap() function:') print (a.byteswap(True)) print ('\n') print ('In hexadecimal form:') print (list (map(hex,a)) ) print ('\n') # We can see the bytes being swapped
Our array is: [ 1 256 8755] Representation of data in memory in hexadecimal form: <map object at 0x7fd33c37a358> Applying byteswap() function: [ 256 1 13090] In hexadecimal form: ['0x100', '0x1', '0x3322']
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