Driving right $(1)$

Remember that cars dataset, containing the cars per $1000$ people $($cars$\_$per$\_$cap$)$ and whether people drive right $($drives$\_$right$)$ for different countries $($country$)?$ The code that imports this data in CSV format into Python as a DataFrame is included in the script.

In the video, you saw a step$-$by$-$step approach to filter observations from a DataFrame based on boolean arrays. Let's start simple and try to find all observations in cars where drives$\_$right is True.

drives$\_$right is a boolean column, so you'll have to extract it as a Series and then use this boolean Series to select observations from cars.

Instructions

$100$ XP

Extract the drives$\_$right column as a Pandas Series and store it as dr$.$

Use dr$,$ a boolean Series, to subset the cars DataFrame. Store the resulting selection in sel.

Print sel, and assert that drives$\_$right is True for all observations.