Temporal types – timedelta
Timedeltas are useful for measuring the duration between two points in time. This can be used to measure things like “on average, how much time passed between events X and Y,” which can be helpful to monitor and predict the turnaround time of certain processes and/or systems within your organization. Additionally, timedeltas can be used to manipulate your datetimes, making it easy to “add X number of days” or “subtract Y number of seconds” from your datetimes, all without having to dive into the minutiae of how your datetime objects are stored internally.
How to do it
So far, we have introduced each data type by constructing it directly. However, the use cases where you would construct a timedelta pd.Series by hand are exceedingly rare. More commonly, you will come across this type as the result of an expression that subtracts two datetimes from one another:
ser = pd.Series([
"2024-01...
