为什么在Pandas Series上调用.sort()函数对它的值进行原位排序而不返回任何内容? [英] Why calling .sort() function on Pandas Series sorts its values in-place and returns nothing?

问题描述

对不起，我认为我在这里缺少一些非常基本的内容:

Sorry I think I am missing something very basic here:

>>> Series([3,4,0,3]).sort()

无输出，而

>>> Series([3,4,0,3]).order()
2    0
0    3
3    3
1    4
dtype: int64

sort()我缺少什么?

what am I missing with sort()?

谢谢

感谢您的回答，我现在意识到这已经就位了.但是我不明白为什么

Thanks for the answers, I do realize now that this is sorting in place. But I don't understand why

>>> s = Series([3,4,0,3]).sort()
>>> s

不返回已排序的系列.如果我了解手册，它应该返回系列排序到位.

does not return the sorted Series. If I understand the manual it should return the series sorted in place.

推荐答案

.sort()对就地进行排序.

这意味着在调用.sort()之后，已对现有数组进行了排序.它不会返回任何内容.

That means that after you call .sort(), your existing array has been sorted. It doesn't return anything.

以核心" Python为例:

To take an example from "core" Python:

In [175]: L = [2, 3, 1, 5]

In [176]: L.sort()

In [177]: print(L)
[1, 2, 3, 5]

按值对值和索引标签进行排序.与ndarray API兼容.没有返回值

Sort values and index labels by value, in place. For compatibility with ndarray API. No return value

另请参见: Series.sort()和Series.order()有什么区别?

See also: What's the difference between Series.sort() and Series.order()?

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