Example: Plot Interaction of Categorical Factors

Plot Interaction of Categorical Factors

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]:

%matplotlib inline

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from statsmodels.graphics.factorplots import interaction_plot

In [2]:

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 [3]:

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)

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© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/examples/notebooks/generated/categorical_interaction_plot.html