Pandas：一列基于另一列的箱线图
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Pandas: boxplot of one column based on another column
提问by Amelio Vazquez-Reina
Say I have a dataframe like the following:
假设我有一个如下所示的数据框：
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). Notethat I have some NaNvalues in the dataframe. How can I do this in Pandas?
我想对每个组（A、B、C）的年龄进行箱线图。请注意，我NaN在数据框中有一些值。我怎样才能在 Pandas 中做到这一点？
回答by Joop
Misread 1st time so gave answer for histograms... keeking that below. for boxplot the code is:
第一次误读所以给出了直方图的答案......在下面继续。对于箱线图，代码是：
bp = df.boxplot(by='Group')
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.htmlhas some fancy syntax to do this as well. But since only have 3 groups the simple solution is probably sufficient.
http://pandas.pydata.org/pandas-docs/dev/visualization.html也有一些奇特的语法来做到这一点。但由于只有 3 个组，简单的解决方案可能就足够了。
