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
Ejercicio interactivo práctico
Prueba este ejercicio y completa 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()