Python 将多个索引合并为单个索引
我有3只熊猫多索引groupby['location','date']Python 将多个索引合并为单个索引,python,pandas,concat,Python,Pandas,Concat,我有3只熊猫多索引groupby['location','date'] print(a) location date hosp 976 2020-10-02 9 2020-10-03 10 2020-10-04 10 print(b) incid_hosp location date
print(a)
location date hosp
976 2020-10-02 9
2020-10-03 10
2020-10-04 10
print(b)
incid_hosp
location date
976 2020-10-02 1
2020-10-03 1
2020-10-04 0
print(c)
P T
location date
978 2020-10-02 5 60
2020-10-02 4 52
2020-10-03 4 2
我想让他们得到:
print(result)
hosp incid_hosp P T
location date
976 2020-10-02 9 1 NaN NaN
2020-10-03 10 1 NaN NaN
2020-10-04 10 0 NaN NaN
978 2020-10-02 NaN NaN 5 60
2020-10-03 NaN NaN 4 52
2020-10-04 NaN NaN 4 2
我试过了
result = pd.concat([a,b,c], axis=1, sort=False)
但它会产生很多NaN值…请先使用combine_并减少:
输出:
P T hosp incid_hosp
location date
976 2020-10-02 NaN NaN 9.0 1.0
2020-10-03 NaN NaN 10.0 1.0
2020-10-04 NaN NaN 10.0 0.0
978 2020-10-02 5.0 60.0 NaN NaN
2020-10-02 4.0 52.0 NaN NaN
2020-10-03 4.0 2.0 NaN NaN
hosp incid_hosp P T
location date
976 2020-10-02 9.0 1.0 NaN NaN
2020-10-03 10.0 1.0 NaN NaN
2020-10-04 10.0 0.0 NaN NaN
978 2020-10-02 NaN NaN 5.0 60.0
2020-10-02 NaN NaN 4.0 52.0
2020-10-03 NaN NaN 4.0 2.0
对于三个数据帧,可以使用链联接: 输出:
P T hosp incid_hosp
location date
976 2020-10-02 NaN NaN 9.0 1.0
2020-10-03 NaN NaN 10.0 1.0
2020-10-04 NaN NaN 10.0 0.0
978 2020-10-02 5.0 60.0 NaN NaN
2020-10-02 4.0 52.0 NaN NaN
2020-10-03 4.0 2.0 NaN NaN
hosp incid_hosp P T
location date
976 2020-10-02 9.0 1.0 NaN NaN
2020-10-03 10.0 1.0 NaN NaN
2020-10-04 10.0 0.0 NaN NaN
978 2020-10-02 NaN NaN 5.0 60.0
2020-10-02 NaN NaN 4.0 52.0
2020-10-03 NaN NaN 4.0 2.0
简洁地使用reduce,+1。我应该说这里介绍的所有解决方案都有效,包括我的。问题出在我正在解析的文件中