**Seaborn** is a popular Python visualization library built on top of `matplotlib` that provides a high-level interface for drawing attractive and informative statistical graphics. These plots require titles and labels (on the x and y axes) to present data vividly. Moreover, since Seaborn is built on top of the `matplotlib.pyplot` library, it can easily be linked with commonly used libraries (e.g., pandas).

## Adding labels and a title to a box plot

In `seaborn`, we use the `x` and `y` parameters of the `sns.boxplot()` function to label the x and y-axis and the `.set()` to add a title to the plot. 

## Example

Let’s create a box plot and label it as follows:

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
df = pd.DataFrame({'Score': [33, 24, 29, 25, 30, 29, 34, 37],
                   'Player': ['X', 'X', 'X', 'X', 'Y', 'Y', 'Y', 'Y']})
sns.boxplot(data=df, x='Player', y='Score').set(title='Points by Player')

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## Explanation
- **Lines 4–5:** We create a sample DataFrame, `df`.
- **Line 6:** We use the `sns.boxplot()` function to create a boxplot and set the labels and the `.set()` attribute to add a title.

Here, `seaborn` stores the boxplot as a list and then uses its `show()` function to print it.

final.tar.gz

output

How to add a title to a Seaborn plot

Use Seaborn's `sns.boxplot()` for labeling axes and `.set()` for adding plot titles.