Maximum value last year
Next, you would like to add the maximum amount that a donor donated in 2017, but before May 1st, 2017 to the basetable. You have a few objects available to you: basetable contains the donor IDs of the population, and gifts contains gifts made by donors over time. For each donor in the population, add the maximum amount that this donor donated in 2017 to 'basetable`.
This exercise is part of the course
Intermediate Predictive Analytics in Python
Exercise instructions
- Fill out the start and end date of the period over which you want to take the maximum.
- Select gifts made in 2017 using these start and end dates in the dataframe
gifts_2017. - Create a pandas dataframe that has the maximum amount for each donor in
gifts_2017. - Add this maximum amount to the
basetable.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Start and end date of the aggregation period
start_date = datetime.date(____, ____, ____)
end_date = datetime.date(____, ____, ____)
# Select gifts made in 2017
gifts_2017 = gifts[(gifts["____"] >= ____) & (gifts["____"] < ____)]
# Maximum gift per donor in 2017
gifts_2017_bydonor = gifts_2017.groupby(["____"])["____"].____().reset_index()
gifts_2017_bydonor.columns = ["donor_ID", "max_amount"]
# Add maximum amount to the basetable
basetable = pd.merge(____, ____)