Discretization of a certain variable
In order to make predictor insight graphs for continuous variables, you first need to discretize them. In Python, you can discretize pandas columns using the qcut method.
To check whether the variable was nicely discretized, you can verify that the bins have equal size using the groupby method:
print(basetable.groupby("discretized_variable").size()
Questo esercizio fa parte del corso
Introduction to Predictive Analytics in Python
Istruzioni dell'esercizio
- Use the method
qcutto discretize the variabletime_since_last_donationin 10 groups. Assing this variable to a new column called "bins_recency". - Use the method
groupbyto verify that the bins have about equal size.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Discretize the variable time_since_last_donation in 10 bins
basetable["bins_recency"] = pd.qcut(____,____)
# Print the group sizes of the discretized variable
print(basetable.groupby("____").size())