Plot Interaction of Categorical Factors ========================================= .. _categorical_interaction_plot_notebook: `Link to Notebook GitHub `_ .. raw:: html

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.

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import numpy as np
   import matplotlib.pyplot as plt
   import pandas as pd
   from statsmodels.graphics.factorplots import interaction_plot
   
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np.random.seed(12345)
   weight = pd.Series(np.repeat(['low', 'hi', 'low', 'hi'], 15), name='weight')
   nutrition = pd.Series(np.repeat(['lo_carb', 'hi_carb'], 30), name='nutrition')
   days = np.log(np.random.randint(1, 30, size=60))
   
In [ ]:
fig, ax = plt.subplots(figsize=(6, 6))
   fig = interaction_plot(x=weight, trace=nutrition, response=days, 
                          colors=['red', 'blue'], markers=['D', '^'], ms=10, ax=ax)