带有 pandas 的ipython中的自动完成功能似乎已被打破 [英] AutoComplete in ipython with pandas Seems to be broken

问题描述

我有一个名为 frame

我想调用frame[SomeCoulmnname].value_counts()方法

问题在于，即使我在之后键入 v ，ipython也不会自动完成. 实际上，它甚至没有返回任何建议.

The issue is that ipython doesnt autocomplete even after i type v after the . In fact it doesnt even return any suggestions.

但是，如果我只是键入系列.并按一下选项卡，它会向我返回我正在寻找的可能方法.

But if i simply type Series. and press the tab it return me the possible methods that i am looking for.

我的问题是为什么iPython的行为会如此?尽管与PyCharm的工作相同！

My question is why is iPython behaving like this?The same work with PyCharm though!

在此方面的任何帮助将不胜感激.谢谢

Any help on this will be greatly appreciated.Thanks

推荐答案

这不是熊猫特有的.

如果没有实际运行frame[SomeCoulmnname]，IPython无法知道/猜测通过运行frame[SomeCoulmnname]返回的对象的类型.由于它也不能假设运行它是安全/快速/等方式，因此它不会运行.

IPython cannot know/guess the type of the object returned by running frame[SomeCoulmnname] without actually running it. Since it also cannot assume running it is safe/fast/etc, it doesn't run it.

由于它不知道对象的类型，因此无法建议完成的对象.

Since it doesn't know the type of the object, it can't suggest completions for it.

Series.<TAB>之所以有效，是因为不需要猜测. IPython知道Series是一种类型，因此它可以解析其成员.

Series.<TAB> works because no guessing is required. IPython knows that Series is a type, hence it can resolve its members.

一种解决方案是将临时值分配给变量:

A solution would be to assign the temporary value to a variable:

s = frame[SomeCoulmnname]
s.v<TAB>

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