Timezones in Pandas
Earlier in this course, you assigned a timezone to each datetime in a list. Now with Pandas you can do that with a single method call.
(Note that, just as before, your data set actually includes some ambiguous datetimes on account of daylight saving; for now, we'll tell Pandas to not even try on those ones. Figuring them out would require more work.)
This exercise is part of the course
Working with Dates and Times in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Localize the Start date column to America/New_York
rides['Start date'] = rides['Start date'].____
# Print first value
print(rides['Start date'].iloc[0])