Practice / selecting and filtering
CityCycle wants to tag its longer trips without losing the short ones.
You have the rides DataFrame:
Your task: keep all columns and add a boolean column is_long that is true when minutes is greater than 20 and false otherwise.
Assign your answer DataFrame to result. Row order doesn't matter.
ridesinput DataFrame| column | type |
|---|---|
| ride_id | long |
| minutes | long |
| ride_id | minutes |
|---|---|
| 1 | 12 |
| 2 | 25 |
| 3 | 40 |
| 4 | 20 |
ride_idminutesis_long· 4 rowsAdd a column, don't drop rows: withColumn("is_long", F.col("minutes") > 20).
A comparison expression is already a boolean column — no when needed.
This problem builds on Selecting & Filtering (~6 min). Pop it open in a new tab if you want a quick recap.