What are some tips for using Seaborn in Jupyter Notebook?
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What are some tips for using Seaborn in Jupyter Notebook?
Here are some tips for using Seaborn in Jupyter Notebook:
- Use
%matplotlib inlineto display plots inline. - Customize your plots with themes using
sns.set_theme(). - Explore datasets with
sns.load_dataset()for quick visualizations. - Utilize
sns.pairplot()for pairwise relationships.
How can I change the color palette in Seaborn?
You can change the color palette in Seaborn using sns.set_palette('palette_name'). For example, sns.set_palette('pastel') will give you a pastel color scheme.
What types of plots can I create with Seaborn?
Seaborn supports various plots like scatter plots, line plots, bar plots, box plots, violin plots, and heatmaps. You can choose based on your data visualization needs.
Can I combine Seaborn with Matplotlib?
Yes, you can combine Seaborn with Matplotlib. You can create a Seaborn plot and then use Matplotlib functions to further customize it.
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