Introduction to Data Science with Python/

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Regression Plots

Regression Plots

Let’s learn about plotting regression plots using seaborn.

We'll cover the following...

Seaborn has many built-in capabilities for regression plots. The regression plots in seaborn are primarily intended to add a visual guide that helps to emphasize patterns in a dataset during exploratory data analyses. Let’s learn about the lmplot() method in this lesson.

First things first, we need to import seaborn and matplotlib.

C++
import seaborn as sns
import matplotlib.pyplot as plt
tips = sns.load_dataset('tips')
print(tips.head())

The lmplot() method

The lmplot() method allows us to display linear models with seaborn. The method plots data, as well as a regression model across a FacetGrid. This function actually combines regplot() and FacetGrid.

Understanding the difference between regplot() and lmplot() can be a bit tricky. In fact, they are closely related, since lmplot() uses regplot() internally and takes most of its parameters. ...