What are some tips for plotting in Jupyter notebooks?

What are some tips for plotting in Jupyter notebooks?

Here are some tips for plotting in Jupyter notebooks:

1. Use %matplotlib inline to display plots inline.
2. Experiment with different plotting libraries like Matplotlib, Seaborn, and Plotly.
3. Customize your plots with titles, labels, and legends for better clarity.

Can you explain how to use Seaborn for better visualizations?

Absolutely! Seaborn is built on top of Matplotlib and provides a high-level interface for drawing attractive statistical graphics. You can easily create complex visualizations with just a few lines of code. For example, use sns.scatterplot() for scatter plots and sns.barplot() for bar charts.

What are some common mistakes to avoid when plotting?

Common mistakes include:

1. Not labeling axes or providing a title.
2. Using too many colors or styles that can confuse the viewer.
3. Overcomplicating plots with unnecessary elements.

How can I save my plots as images?

You can save your plots using the savefig() function in Matplotlib. For example, plt.savefig('my_plot.png') will save your current plot as a PNG file.