pandas :基于另一列的一列的箱线图

问题描述

说我有一个如下数据框:

Say I have a dataframe like the following:

my_dataframe:

   Age  Group
0  31   A
1  24   A
2  25   A
3  36   A
4  50   NaN
5  27   A
6  49   A
7  24   A
8  63   A
9  25   A
10  65  A
11  67  A
12  59  A
13 NaN  B
14  30  B
15  19  B
16  57  B
17  62  B
18  30  B
19  50  B
20  42  B
21  45  C
22  59  C
23  28  C
24  37  C
25  29  C

我想对每个小组(A，B，C)的年龄进行箱线绘图.请注意，我在数据框中有一些 NaN 值.我如何在熊猫里做到这一点?

I would like to boxplot the age of each Group (A,B,C). Note that I have some NaN values in the dataframe. How can I do this in Pandas?

推荐答案

第一次误读了，因此给出了直方图的答案...下面将其作为参考.对于箱线图，代码为:

Misread 1st time so gave answer for histograms... keeking that below. for boxplot the code is:

bp = df.boxplot(by='Group')

suptitle('Bla Bla')

更改或删除自动生成的顶部标题.

to change or get rid of the automatically generated top Title.

可能是一种更优雅的方法，但以下方法可用于直方图:

Might be a more elegant way but the following works for histograms:

df[df.Group =='A'].Age.hist()
df[df.Group =='B'].Age.hist()
df[df.Group =='C'].Age.hist()

http://pandas.pydata.org/pandas-docs/dev/visualisation.html 也有一些精美的语法可以做到这一点.但由于只有 3 个组，简单的解决方案可能就足够了.

http://pandas.pydata.org/pandas-docs/dev/visualization.html has some fancy syntax to do this as well. But since only have 3 groups the simple solution is probably sufficient.

这篇关于 pandas :基于另一列的一列的箱线图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！