我正在尝试使用如here所示的小计实现一个表,但是该代码不适用于最新的pandas版本(0.18.1),或者示例对于多列而不是一列是错误的. My code here结果如下表所示
2014 2015 2016
project__name person__username activity__name issue__subject
Influenster employee1 Development 161.0 122.0 104.0
Fix bug 22.0 0.0 0.0
Refactor view 0.0 7.0 0.0
Quality assurance 172.0 158.0 161.0
employee2 Development 119.0 137.0 155.0
Quality assurance 193.0 186.0 205.0
employee3 Development Refactor view 0.0 0.0 1.0
Profit tools employee1 Development 177.0 136.0 216.0
Quality assurance 162.0 122.0 182.0
employee2 Development 154.0 168.0 124.0
Quality assurance 130.0 183.0 192.0
Fix bug 22.0 0.0 0.0
All 1312.0 1219.0 1340.0
我想要的输出将是这样的：
2014 2015 2016
project__name person__username activity__name issue__subject
Influenster employee1 Development 161.0 122.0 104.0
Fix bug 22.0 0.0 0.0
Refactor view 0.0 7.0 0.0
Total xxx xxx xxx
Quality assurance 172.0 158.0 161.0
Total xxx xxx xxx
Total xxx xxx xxx
employee2 Development 119.0 137.0 155.0
Total xxx xxx xxx
Quality assurance 193.0 186.0 205.0
Total xxx xxx xxx
Total xxx xxx xxx
employee3 Development Refactor view 0.0 0.0 1.0
Total xxx xxx xxx
Total xxx xxx xxx
Total xxx xxx xxx
Profit tools employee1 Development 177.0 136.0 216.0
Total xxx xxx xxx
Quality assurance 162.0 122.0 182.0
Total xxx xxx xxx
Total xxx xxx xxx
employee2 Development 154.0 168.0 124.0
Total xxx xxx xxx
Quality assurance 130.0 183.0 192.0
Fix bug 22.0 0.0 0.0
Total xxx xxx xxx
Total xxx xxx xxx
Total xxx xxx xxx
All 1312.0 1219.0 1340.0
任何有关如何实现这一点的帮助表示赞赏.
解决方法:
递归groupby并申请
def append_tot(df):
if hasattr(df, 'name') and df.name is not None:
xs = df.xs(df.name)
else:
xs = df
gb = xs.groupby(level=0)
n = xs.index.nlevels
name = tuple('Total' if i == 0 else '' for i in range(n))
tot = gb.sum().sum().rename(name).to_frame().T
if n > 1:
sm = gb.apply(append_tot3)
else:
sm = gb.sum()
return pd.concat([sm, tot])
fields = ['project__name', 'person__username',
'activity__name', 'issue__subject']
append_tot(df.set_index(fields))
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