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()

Bu egzersiz

Introduction to Predictive Analytics in Python

kursunun bir parçasıdır

Kursu Görüntüle

Egzersiz talimatları

Use the method qcut to discretize the variable time_since_last_donation in 10 groups. Assing this variable to a new column called "bins_recency".
Use the method groupby to verify that the bins have about equal size.

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

# 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())

Kodu Düzenle ve Çalıştır