Great. Apart from size(), we can use all the other statistical functions that we got to know. For instance, if we want to find the average number of aces based on players' height, we can use:
players_by_height['aces'].mean()
The result looks something like:
| height | |
|---|---|
| 180 | 1689.000000 |
| 185 | 5060.000000 |
| 191 | 2366.500000 |
| 198 | 3658.666667 |
| 203 | 5837.000000 |
| Name: aces, dtype: float64 | |
Note that we can refer to specific columns using the brackets operator. In this case, we specified the aces column and calculated the mean for each height group.
Calculate the total revenue from ticket sales in each country. To that end, use the sum() function on the box_office column.
Start with
movies_by_country['box_office']
