Plotting the incidences

The most important element of the predictor insight graph are the incidence values. For each group in the population with respect to a given variable, the incidence values reflect the percentage of targets in that group. In this exercise, you will write a python function that plots the incidence values of a variable, given the predictor insight graph table.

Este ejercicio forma parte del curso

Introduction to Predictive Analytics in Python

Ver curso

Ejercicio interactivo práctico

Prueba este ejercicio completando el código de muestra.

import matplotlib.pyplot as plt
import numpy as np

# The function to plot a predictor insight graph.
def plot_incidence(pig_table,variable):
    
    # Plot the incidence line
    ____["____"].plot()
    
    # Formatting the predictor insight graph
    plt.xticks(np.arange(len(pig_table)), pig_table[variable])
    plt.xlim([-0.5, len(pig_table) - 0.5])
    plt.ylim([0, max(pig_table["Incidence"] * 2)])
    plt.ylabel("Incidence", rotation=0, rotation_mode="anchor", ha="right")
    plt.xlabel(variable)
    
    # Show the graph
    plt.show()

Editar y ejecutar código