How can I customize Seaborn plots in Jupyter Notebook?
You can customize Seaborn plots by adjusting parameters like color palettes, styles, and adding titles or labels.
What are some common color palettes I can use?
Some common color palettes include 'deep', 'muted', 'bright', 'pastel', 'dark', and 'colorblind'. You can set them using sns.set_palette()
.
Can I change the style of the plots?
Yes, you can change the style using sns.set_style()
. Options include 'white', 'dark', 'whitegrid', 'darkgrid', and 'ticks'.
How do I add a title and axis labels to my plot?
You can add a title using plt.title('Your Title')
and axis labels with plt.xlabel('X-axis Label')
and plt.ylabel('Y-axis Label')
.
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