Pandas组连续和label长度

Question

I want get consecutive length labeled data

a b 
---
1 1 
0 2 
1 3
1 2
0 1
1 3
1 1
1 3
0 3
1 2
1 1

I want:

a b | c 
--------
1 1   1
0 2   0
1 3   2
1 2   2
0 1   0
1 3   3
1 1   3
1 3   3
0 2   0
1 2   2
1 1   2

then I can calculate the mean of "b" column by group "c". tried with shift and cumsum and cumcount all not work.

Answer 1

Use GroupBy.transform by consecutive groups and then set 0 if not 1 in a column:

df['c1'] = (df.groupby(df.a.ne(df.a.shift()).cumsum())['a']
              .transform('size')
              .where(df.a.eq(1), 0))
print (df)
    a  b  c  c1
0   1  1  1   1
1   0  2  0   0
2   1  3  2   2
3   1  2  2   2
4   0  1  0   0
5   1  3  3   3
6   1  1  3   3
7   1  3  3   3
8   0  2  0   0
9   1  2  2   2
10  1  1  2   2

If there are only 0, 1 values is possible multiple by a :

df['c1'] = (df.groupby(df.a.ne(df.a.shift()).cumsum())['a']
              .transform('size')
              .mul(df.a))
print (df)
    a  b  c  c1
0   1  1  1   1
1   0  2  0   0
2   1  3  2   2
3   1  2  2   2
4   0  1  0   0
5   1  3  3   3
6   1  1  3   3
7   1  3  3   3
8   0  2  0   0
9   1  2  2   2
10  1  1  2   2