What are some tips for using Seaborn in Jupyter Notebooks?

What are some tips for using Seaborn in Jupyter Notebooks?

Here are a few tips for using Seaborn in Jupyter Notebooks:

1. Use %matplotlib inline to display plots inline.
2. Customize your plots with themes using sns.set_theme().
3. Utilize the pairplot() function for quick visualizations of relationships.
4. Explore the FacetGrid for creating complex multi-plot grids.

How can I customize the color palette in Seaborn?

You can customize the color palette in Seaborn using the palette parameter in plotting functions. For example, you can use sns.set_palette('pastel') to set a pastel color palette for all your plots.

What types of plots can I create with Seaborn?

Seaborn supports various types of plots, including:

• Scatter plots
• Line plots
• Bar plots
• Box plots
• Heatmaps You can explore the documentation for more options!

Can I combine Seaborn with Matplotlib?

Absolutely! Seaborn is built on top of Matplotlib, so you can use both together. You can create a Seaborn plot and then customize it further with Matplotlib functions.