| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| groupby pandas two columns | 1.13 | 0.8 | 5705 | 3 | 26 |
| groupby | 1.16 | 0.3 | 8334 | 11 | 7 |
| pandas | 0.23 | 0.9 | 229 | 60 | 6 |
| two | 1.19 | 1 | 2323 | 51 | 3 |
| columns | 0.88 | 0.7 | 2888 | 17 | 7 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| groupby pandas two columns | 0.09 | 1 | 8032 | 81 |
| pandas groupby two columns and count | 0.72 | 0.4 | 7566 | 22 |
| pandas dataframe groupby two columns | 0.01 | 0.9 | 1499 | 13 |
| pandas groupby two columns and sum | 0.42 | 1 | 8391 | 28 |
| pandas groupby agg lambda two columns | 1.18 | 0.5 | 1768 | 3 |
| pandas groupby agg divide two columns | 0.9 | 0.1 | 1633 | 32 |
| pandas groupby two columns | 0.84 | 1 | 2657 | 46 |
| groupby and count in pandas | 0.81 | 0.7 | 3003 | 90 |
| pandas groupby count rows | 1.61 | 0.3 | 3435 | 20 |
| pandas groupby multiple columns | 0.76 | 0.5 | 9040 | 15 |
| pandas groupby count number of rows | 1.49 | 0.3 | 420 | 86 |
| how to groupby 2 columns in pandas | 0.33 | 0.6 | 7200 | 57 |
