pandas.read_csv()方法中的`sep`和`delimiter`属性之间有什么区别? [英] What is the difference between `sep` and `delimiter` attributes in pandas.read_csv() method?

问题描述

pandas.read_csv()方法中的sep和delimiter属性之间有什么区别?

What is the difference between sep and delimiter attributes in pandas.read_csv() method?

当我选择一个而不是另一个时会发生什么情况?

Also what is the situation when I would choose one over the other?

在文档中，我在定界符中读到了一些关于Python内置嗅探器工具的信息，它表示 sep的替代参数名称，那么为什么我们不能只有一个属性?

In documentation I read something about Python builtin sniffer tool, also in delimiter, it says alternative argument name for sep, then why cant we have only one attribute?

推荐答案

可以在我同意另一个答案，那就是最好坚持使用sep.它似乎更常用，并且与其他功能(例如 to_csv ，它不接受delimiter，仅接受sep.

I agree with the other answer that it is best to stick to sep. It seems to be more commonly used, and it is more consistent with other functions such as to_csv, which does not accept delimiter, only sep.

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