|，>和<在numpy数据类型中 [英] |, > and < in numpy datatype

问题描述

这可能是一个非常愚蠢的问题，但是我尝试使用Google搜索类似less and greater signs in data type of numpy的关键字，但没有找到参考.

This could be a very silly question but I tried to google keywords like less and greater signs in data type of numpy and found no reference.

在numpy的 doc 中，

x = np.array([(1.0, 2), (3.0, 4)], dtype=[('x', float), ('y', int)])

输出

array([(1.0, 2), (3.0, 4)],
      dtype=[('x', '<f8'), ('y', '<i4')])

但是在我的PC上，输出是

But on my PC, the output is

array([(1.0, 2), (3.0, 4)],
      dtype=[('x', '>f8'), ('y', '>i4')])

dtype中的<和>是什么意思，为什么会有区别?

What do < and > in the dtype mean and why there is the difference?

推荐答案

关键字<和>代表参考文献中的该页面为您提供了所有您需要的有关numpy的信息，但作为摘要:

The keywords < and > stand for byte ordering, aka endianness. It is the order in which bytes from numbers are stored (when numbers are compossed of more than 1 byte, e.g. int16, int32, float32...). This page from the reference gives you all the information you need about it in numpy, but as a summary:

• |:它没有字节顺序，因为它是多余的(在单字节数字或字符串上)

• | : it doesn't have a byte order because is redundant (on single byte numbers or strings)

<:小尾数

>:大端

正如@tobias_k和@RobertKern指出的那样，默认字节序(如果未指定)取决于系统.

As @tobias_k and @RobertKern pointed out, the default endianess, if not specified, is system dependant.

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