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熊猫:基于另一列的一列的箱线图

[英]Pandas: boxplot of one column based on another column

Say I have a dataframe like the following: 假设我有如下数据框:

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

I would like to boxplot the age of each Group (A,B,C). 我想绘制每个组的年龄(A,B,C)。 Note that I have some NaN values in the dataframe. 请注意 ,我在数据框中有一些NaN值。 How can I do this in Pandas? 我怎么能在熊猫中做到这一点?

Misread 1st time so gave answer for histograms... keeking that below. 误读了第一次,所以给了直方图的答案......在下面看。 for boxplot the code is: 对于boxplot,代码是:

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

在此输入图像描述

suptitle('Bla Bla')

to change or get rid of the automatically generated top Title. 更改或删除自动生成的顶部标题。

Might be a more elegant way but the following works for histograms: 可能是一种更优雅的方式,但以下适用于直方图:

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/visualization.html has some fancy syntax to do this as well. http://pandas.pydata.org/pandas-docs/dev/visualization.html也有一些奇特的语法来做到这一点。 But since only have 3 groups the simple solution is probably sufficient. 但由于只有3组,简单的解决方案可能就足够了。

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