Patient soreness treatment

You are studying a treatment for muscle soreness recurrence in patients. You want to use the Kaplan-Meier estimator to visualize the rate at which patients receiving the treatment encounter soreness episodes.

The DataFrame is called recur and contains columns

• age: the age of the patient;
• time_0: the time that the patient received the treatment;
• time_1: the last time of an event, or the last time you measured a censored patient;
• censor: whether the event is censored;

The pandas package is loaded as pd, the KaplanMeierFitter class is imported from lifelines, and the pyplot module has been import from matplotlib as plt.