Question

我们已经看到存储在计算机内存中的数据取决于CPU使用的体系结构。 它可能是little-endian（最低有效存储在最小地址中）或big-endian（最小地址中最高有效字节）。

numpy.ndarray.byteswap()

numpy.ndarray.byteswap()函数在两个表示之间切换:bigendian和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

它将产生以下输出 -

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']