NumPy字节交换


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。它可能是小端(最低有效位置存储在最小地址中)或大端(最小地址中最高有效字节)。

numpy.ndarray.byteswap()

numpy.ndarray.byteswap() 大尾端和little-endian:在两个陈述之间的功能切换。

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

它会产生以下输出 -

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']