after grouping by two columns df.groupby(["id","b"]) 
now I want to find "id" where there are more than 5 rows. 

so in the df below, 

id = 4 has 2 rows  

id = 4 has 3 rows.

```
                count   
id          b           
4         1568    1 
          4167    1 
5         1100    1 
          1832    2 
          1969    5 

```

I've simply reset\_index()

and got id values on each row then added them.