Adding titles and labels: Part 1

Introduction to Data Visualization with Seaborn

Erin Case

Data Scientist

Creating informative visualizations

Box plot of birth rate per region

Box plot of birth rate per region with title and labels

FacetGrid vs. AxesSubplot objects

Seaborn plots create two different types of objects: FacetGrid and AxesSubplot

g = sns.scatterplot(x="height", y="weight", data=df)

type(g)

> matplotlib.axes._subplots.AxesSubplot

An Empty FacetGrid

Empty 4x4 FacetGrid

FacetGrid vs. AxesSubplot objects

Object Type	Plot Types	Characteristics
`FacetGrid`	`relplot()`, `catplot()`	Can create subplots
`AxesSubplot`	`scatterplot()`, `countplot()`, etc.	Only creates a single plot

Adding a title to FacetGrid

g = sns.catplot(x="Region", 
                y="Birthrate", 
                data=gdp_data, 
                kind="box")

g.fig.suptitle("New Title")

plt.show()

Birth rate box plot with title added

Adjusting height of title in FacetGrid

g = sns.catplot(x="Region", 
                y="Birthrate", 
                data=gdp_data, 
                kind="box")

g.fig.suptitle("New Title", 
               y=1.03)

plt.show()

Birth rate plot with higher title

Let's practice!

Introduction to Data Visualization with Seaborn