Plotting the group sizes
The predictor insight graph gives information about predictive variables. Each variable divides the population in several groups. The predictor insight graph has a line that shows the average target incidence for each group, and a bar that shows the group sizes. In this exercise, you will learn how to write and apply a function that plots a predictor insight graph, given a predictor insight graph table.
Diese Übung ist Teil des Kurses
Introduction to Predictive Analytics in Python
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# The function to plot a predictor insight graph
def plot_pig(pig_table, variable):
# Plot formatting
plt.ylabel("Size", rotation=0, rotation_mode="anchor", ha="right")
# Plot the bars with sizes
pig_table["____"].plot(kind="bar", width=0.5, color="lightgray", edgecolor="none")
# Plot the incidence line on secondary axis
pig_table["____"].plot(secondary_y=True)
# Plot formatting
plt.xticks(np.arange(len(pig_table)), pig_table[variable])
plt.xlim([-0.5, len(pig_table) - 0.5])
plt.ylabel("Incidence", rotation=0, rotation_mode="anchor", ha="left")
# Show the graph
plt.show()