Python 基于列的日期和值重新索引数据帧

假设我有以下数据帧

ID  StationID  Date         ParamName  ParamValue
0   A          1990-01-08   metal      0.5
1   A          1990-01-08   wood       1.4
2   A          1990-01-08   glass      9.7
3   B          1990-01-08   metal      0.8
4   B          1990-01-08   wood       4.8
5   C          1990-01-08   metal      0.6
6   A          1990-02-03   metal      0.5
7   A          1990-03-01   metal      1.2
8   B          1990-03-01   metal      0.9
9   C          1990-03-01   metal      1.1

仅当

日期

或

StationID

不同时，您如何将数据帧的ID列重新索引为增量。如何将上面的数据帧重新索引到下面的数据帧（假设日期包含datetime对象）

---

这是你需要的吗

df.assign(ID=(df.StationID!=df.StationID.shift()).cumsum()-1)
Out[151]: 
   ID StationID        Date ParamName  ParamValue
0   0         A  1990-01-08     metal         0.5
1   0         A  1990-01-08      wood         1.4
2   0         A  1990-01-08     glass         9.7
3   1         B  1990-01-08     metal         0.8
4   1         B  1990-01-08      wood         4.8
5   2         C  1990-01-08     metal         0.6
6   3         A  1990-02-03     metal         0.5
7   3         A  1990-02-03      wood         1.2
8   4         B  1990-02-03     metal         0.9
9   5         C  1990-02-03     metal         1.1

更新：-）

---

Think Char说他们需要根据StationID或日期进行更改

df.assign(ID=(df.StationID!=df.StationID.shift()).cumsum()-1)
Out[151]: 
   ID StationID        Date ParamName  ParamValue
0   0         A  1990-01-08     metal         0.5
1   0         A  1990-01-08      wood         1.4
2   0         A  1990-01-08     glass         9.7
3   1         B  1990-01-08     metal         0.8
4   1         B  1990-01-08      wood         4.8
5   2         C  1990-01-08     metal         0.6
6   3         A  1990-02-03     metal         0.5
7   3         A  1990-02-03      wood         1.2
8   4         B  1990-02-03     metal         0.9
9   5         C  1990-02-03     metal         1.1

df['ID']=df.StationID+df.Date.astype(str)
df.assign(ID=(df.ID!=df.ID.shift()).cumsum()-1)
Out[163]: 
   ID StationID        Date ParamName  ParamValue
0   0         A  1990-01-08     metal         0.5
1   0         A  1990-01-08      wood         1.4
2   0         A  1990-01-08     glass         9.7
3   1         B  1990-01-08     metal         0.8
4   1         B  1990-01-08      wood         4.8
5   2         C  1990-01-08     metal         0.6
6   3         A  1990-02-03     metal         0.5
7   4         A  1990-03-01     metal         1.2
8   5         B  1990-03-01     metal         0.9
9   6         C  1990-03-01     metal         1.1