Customizing the Legend in Seaborn Scatter Plots

When creating scatter plots using Seaborn, you may want to customize the appearance of the legend. This can be achieved by specifying various parameters when calling the `sns.scatterplot()` function.

One common use case is changing the location of the legend. You can do this by passing a value to the `loc` parameter in the `plt.legend()` call. For example, you can set `loc='upper right'` to place the legend in the upper-right corner of the plot.

Another way to customize the legend is by specifying how it should be formatted. By default, Seaborn will automatically determine which elements to display in the legend. However, you may want more control over this process. You can achieve this by passing a value to the `legend` parameter in the `sns.scatterplot()` call.

For example, you can set `legend='full'` to include every group in the legend. Alternatively, you can set `legend='brief'` to display only a selection of evenly spaced values for numeric hue and size variables.

Here is an example code snippet that demonstrates how to customize the legend:

```python

import seaborn as sns

import matplotlib.pyplot as plt

# Create a scatter plot with customized legend

sns.scatterplot(x='pca1', y='pca2', hue=y2, data=results, legend='full')

plt.title('K-means Clustering with 2 dimensions')

# Customize the legend location

plt.legend(loc='upper right')

```

In this example, we are creating a scatter plot with two features (`pca1` and `pca2`) and coloring each point based on a third feature (`y2`). We also set `legend='full'` to include every group in the legend. Finally, we customize the location of the legend by setting `loc='upper right'`.

By following these tips, you can easily customize the appearance of your scatter plots and legends using Seaborn.

Pyplot scatter legend