numpy.ndarray.byteswap() toggles between low endian and big endian data representation by returning a byte-swapped array that can be swapped in place. p>
Syntax: ndarray.byteswap (inplace = False)
inplace strong>: [bool, optional] If True, swap bytes in-place, default is False.
out: strong > [ndarray] The byteswapped array. If inplace is True, this is a view to self.
Code # 1:
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Code # 2:
byteswap () does not work with arrays of strings.
ValueError Traceback (most recent call last) in () 1 import numpy as geek ---- & gt; 2 a = geek.array (["arka", "soumen", "simran"], dtype = np.int16) 3 4 #a is an array of strings 5 ValueError: invalid literal for int () with base 10: ` arka`