Time Between Two Events

To find the time between a login and a subsequent 'like' event for each user, first sort the log data by user ID and timestamp. Then, for each user, determine the timestamp of their previous event. Filter the data to include only rows where the previous event was a 'login' and the current event is a 'like'. Finally, calculate the time difference between the 'login' timestamp and the 'like' timestamp. This can be efficiently achieved using pandas by leveraging groupby() and shift() operations to access previous event data within each user's session.