Plot Interaction of Categorical FactorsΒΆ

In this example, we will visualize the interaction between categorical factors. First, we will create some categorical data. Then, we will plot it using the interaction_plot function, which internally re-codes the x-factor categories to integers.

[1]:

%matplotlib inline

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

[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))

[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,
)
../../../_images/examples_notebooks_generated_categorical_interaction_plot_4_0.png
Last update: Nov 14, 2024