In this example, we will vizualize the interaction between categorical factors. First, we will create some categorical data are initialized. Then plotted using the interaction_plot function which internally recodes the x-factor categories to ingegers.
In [1]: import numpy as np
In [2]: import matplotlib.pyplot as plt
In [3]: from statsmodels.graphics.factorplots import interaction_plot
In [4]: from pandas import Series
In [5]: np.random.seed(12345)
In [6]: weight = Series(np.repeat(['low', 'hi', 'low', 'hi'], 15), name='weight')
In [7]: nutrition = Series(np.repeat(['lo_carb', 'hi_carb'], 30), name='nutrition')
In [8]: days = np.log(np.random.randint(1, 30, size=60))
In [9]: plt.figure(figsize=(6, 6));
In [10]: interaction_plot(x=weight, trace=nutrition, response=days,
....: colors=['red', 'blue'], markers=['D', '^'], ms=10);
....: