pandas 按名称对列进行排序 [英] Pandas sort columns by name

问题描述

我有以下数据框，在此我想根据名称对列进行排序.

I have the following dataframe, where I would like to sort the columns according to the name.

1 | 13_1 | 13_10| 13_2  | 2   | 3
9 |  31  | 2    |  1    | 3   | 4

我正在尝试通过以下方式对列进行排序:

I am trying to sort the columns in the following way:

1 |  2  | 3    | 13_1  | 13_2  | 13_10
9 |  3  | 4    |  31   |  1    | 2

我一直在尝试使用df.sort_index(axis=1, inplace=True)解决此问题，但是结果却与我的初始数据帧相同.即:

I've been trying to solve this using df.sort_index(axis=1, inplace=True), however the result turns out to be the same as my initial dataframe. I.e:

1 | 13_1 | 13_10| 13_2  | 2   | 3
9 |  31  | 2    |  1    | 3   | 4

似乎将13_1识别为1.31，而不是13.1.此外，我尝试将列名从字符串转换为浮点型.但是，事实证明这会将13_1和13_10都视为13.1，从而为我提供了重复的列名.

It seems it recognizes 13_1 as 1.31 and not as 13.1. Furthermore, I tried a conversion of the column names from string to float. However, this turns out to treat 13_1 and 13_10 both as 13.1 giving me duplicate column names.

推荐答案

natsort

from natsort import natsorted

df = df.reindex(natsorted(df.columns), axis=1)

#   1  2  3  13_1  13_2  13_10
#0  9  3  4    31     1      2

这篇关于 pandas 按名称对列进行排序的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！