>有什么用< numpy dtype中的迹象是什么意思? [英] What do the > < signs in numpy dtype mean?

问题描述

dtype='f'，dtype='f4'，dtype='>f4'，dtype'<f4'有什么区别? 有关类型的文档中没有说明语法(但"f'是'float32'的简写)；它广泛用于记录上的页面，但>/<在那里也无法解释.

What is the difference between dtype='f', dtype='f4', dtype='>f4', dtype'<f4'? The syntax is not explained in docs on types (except that 'f' is a shorthand for 'float32'); it is extensively used in the page on records but the meaning of >/< is also left unexplained in there.

经过一番实验，我发现了

After some experimentation I found out that

    In [13]: a = np.array([1.0], dtype='f')
    In [15]: print(a.dtype)
    float32

和

    In [16]: a = np.array([1.0], dtype='<f4')
    In [17]: print(a.dtype)
    float32

但是

    In [18]: a = np.array([1.0], dtype='>f4')
    In [19]: print(a.dtype)
    >f4

这使我相信这些不是等效的，这可能是我对外部库所面临问题的解释.

It makes me believe those are not equivalent, which may be the explanation for issues I am facing with an external library.

推荐答案

字节序.

< = little-endian(LSB在前)

< = little-endian (LSB first)

> = big-endian(MSB优先)

> = big-endian (MSB first)

https://docs.scipy.org/doc/numpy/reference/generation/numpy.dtype.byteorder.html

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