How long between rides?

For your final exercise, let's take advantage of Pandas indexing to do something interesting. How much time elapsed between rides?

This exercise is part of the course

Working with Dates and Times in Python

View Course

Exercise instructions

  • Calculate the difference in the Start date of the current row and the End date of the previous row and assign it to rides['Time since'].
  • Convert rides['Time since'] to seconds to make it easier to work with.
  • Resample rides to be in monthly buckets according to the Start date.
  • Divide the average by (60*60) to get the number of hours on average that W20529 waited in the dock before being picked up again.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Shift the index of the end date up one; now subract it from the start date
rides['Time since'] = rides['Start date'] - (rides[____].shift(1))

# Move from a timedelta to a number of seconds, which is easier to work with
rides['Time since'] = rides['Time since'].____

# Resample to the month
monthly = rides.____

# Print the average hours between rides each month
print(monthly['Time since'].____/(60*60))