| pandas groupby | 1.62 | 0.9 | 602 | 14 | 95 |
| pandas groupby count | 0.29 | 1 | 813 | 20 | 11 |
| pandas groupby agg | 1.8 | 1 | 4855 | 18 | 88 |
| pandas groupby sum | 0.32 | 0.4 | 5840 | 18 | 3 |
| pandas groupby apply | 0.18 | 0.8 | 5105 | 20 | 45 |
| pandas groupby multiple columns | 1.86 | 0.8 | 7500 | 31 | 4 |
| pandas groupby index | 1.64 | 0.6 | 4620 | 20 | 11 |
| pandas groupby transform | 1.12 | 0.5 | 4643 | 24 | 75 |
| pandas groupby aggregate | 0.55 | 0.1 | 787 | 24 | 84 |
| pandas groupby average | 0.22 | 0.2 | 8105 | 22 | 40 |
| pandas groupby object | 0.43 | 0.5 | 1428 | 21 | 40 |
| pandas groupby plot | 1.77 | 1 | 4719 | 19 | 37 |
| pandas groupby size | 1.85 | 1 | 3832 | 19 | 61 |
| pandas groupby two columns | 0.55 | 0.5 | 9384 | 26 | 13 |
| pandas groupby date | 0.43 | 0.8 | 9844 | 19 | 8 |
| pandas groupby to dataframe | 0.34 | 0.6 | 1013 | 27 | 97 |
| pandas groupby agg count | 1.07 | 0.7 | 5946 | 24 | 11 |
| pandas groupby filter | 1.41 | 0.9 | 5031 | 21 | 18 |
| pandas groupby count unique | 1.33 | 0.1 | 8238 | 27 | 61 |
| pandas groupby reset index | 1.45 | 0.9 | 6324 | 26 | 63 |
| pandas groupby count distinct | 0.76 | 0.5 | 7406 | 29 | 93 |
| pandas groupby count rows | 0.33 | 0.2 | 289 | 25 | 70 |
| pandas groupby min | 1.48 | 0.7 | 8794 | 18 | 59 |
| pandas groupby level | 0.76 | 0.2 | 6245 | 20 | 31 |
| pandas groupby multiple aggregations | 1.66 | 0.7 | 1116 | 36 | 37 |
