Model prison data with Weibull
You are a sociologist studying the time it takes for convicts to be rearrested after their release. The DataFrame prison contains information from 432 convicts who were released from Maryland state prisons in the 1970s and who were followed up with one year after release.
You will model the survival function of time-to-arrest using the Weibull model.
The matplotlib.pyplot library is imported as plt, and the pandas and numpy libraries are imported as pd and np, respectively. Use the console to explore the DataFrame and its column names as needed.
This exercise is part of the course
Survival Analysis in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import WeibullFitter class
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# Instantiate WeibullFitter class wb
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