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.
Bu egzersiz
Introduction to Predictive Analytics in Python
kursunun bir parçasıdırUygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
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()