📅 最后修改于: 2020-11-08 07:40:36 🧑 作者: Mango
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。它可以是低位(最低有效位存储在最小地址中)或高位(最高有效字节存储在最小地址中)。
numpy.ndarray.byteswap()函数在两种表示形式之间切换：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']