Plotting the predictor insight graph

Introduction to Predictive Analytics in Python

Nele Verbiest, Ph.D

Data Scientist @PythonPredictions

The predictor insight graph

Plotting the target incidence

import matplotlib.pyplot as plt
import numpy as np

# Plot the graph
pig_table["Incidence"].plot()

# Show the group names
plt.xticks(np.arange(len(pig_table)), 
    pig_table["income"])

# Center the groups names
width = 0.5
plt.xlim([-width, len(pig_table)-width])

plt.ylabel("Incidence", rotation = 0, 
    rotation_mode="anchor", 
    ha = "right")
plt.xlabel("Income")
plt.show()

Plotting the sizes

import matplotlib.pyplot as plt
import numpy as np
# Plot the graph

plt.ylabel("Size", rotation = 0,rotation_mode="anchor", ha = "right" )

pig_table["Incidence"].plot(secondary_y = True)

pig_table["Size"].plot(kind='bar', width = 0.5, 
                color = "lightgray", edgecolor = "none") ## Add bars

# Show the group names
plt.xticks(np.arange(len(pig_table)), pig_table["income"])
# Center the groups names
plt.xlim([-0.5, len(pt)-0.5])
plt.ylabel("Incidence", rotation = 0, rotation_mode="anchor", ha = "right"
plt.xlabel("Income")
plt.show()

Plotting the sizes

Let's practice!

Introduction to Predictive Analytics in Python