| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| pandas groupby two columns | 0.35 | 0.7 | 8965 | 100 | 26 |
| pandas | 1.25 | 0.7 | 8320 | 69 | 6 |
| groupby | 0.6 | 0.4 | 4230 | 54 | 7 |
| two | 1.49 | 1 | 2042 | 69 | 3 |
| columns | 1.51 | 1 | 9241 | 17 | 7 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| pandas groupby two columns | 0.31 | 0.3 | 1815 | 91 |
| pandas groupby two columns and count | 0.84 | 0.1 | 6339 | 86 |
| pandas groupby two columns and sum | 1.04 | 0.4 | 7225 | 78 |
| pandas dataframe groupby two columns | 1.13 | 1 | 5858 | 92 |
| pandas groupby agg lambda two columns | 0.78 | 0.5 | 6242 | 5 |
| pandas groupby agg divide two columns | 1.02 | 0.3 | 1194 | 3 |
| groupby sum two columns pandas | 1.79 | 0.3 | 5466 | 55 |
| pandas groupby agg two columns | 1.38 | 1 | 7587 | 85 |
| groupby and count in pandas | 1.8 | 0.1 | 670 | 13 |
| pandas groupby count rows | 0.79 | 0.8 | 7267 | 81 |
| pandas groupby multiple columns | 0.82 | 0.6 | 8155 | 8 |
| pandas groupby count number of rows | 1.64 | 1 | 6027 | 82 |
| how to groupby 2 columns in pandas | 0.54 | 1 | 806 | 80 |
