python - 在应用 pandas groupby 后向图中添加条形以显示平均值

Question

我有一个示例数据框:

test = pd.DataFrame({'cluster':['1','1','1','1','2','2','2','2','2','3','3','3'],
                 'type':['a','b','c','a','a','b','c','c','a','b','c','a']})

然后我使用 groupby 绘制每个集群的类型值百分比:

pct_col = test.groupby(['cluster','type'])['type'].count()/(test.groupby('cluster').size())*100 # don't reset the index!
test = test.set_index(['cluster', 'type']) # make the same index here
test['count %'] = pct_col
test = test.reset_index() # to take the hierarchical index off again
sns.catplot(x="cluster", y="count %", hue="type", kind="bar", data=test)

如何添加额外的三个条形图，显示基于整个数据集的每种类型的平均值 --> test.groupby('type')['type'].count()/(len(test ))*100

非常感谢您的帮助!

Answer 1

使用交叉表

pd.crosstab(test.cluster,test.type,normalize='index',margins=True)
Out[305]: 
type            a         b         c
cluster                              
1        0.500000  0.250000  0.250000
2        0.400000  0.200000  0.400000
3        0.333333  0.333333  0.333333
All      0.416667  0.250000  0.333333

#pd.crosstab(test.cluster,test.type,normalize='index',margins=True).mul(100).stack()

更新我认为用pandas绘制情节很容易

pd.crosstab(test.cluster,test.type,normalize='index',margins=True).plot(kind='bar')