To do this, add the following line at the beginning of your notebook: To increase the size of inline plots created using Matplotlib, we must first ensure that our notebook is set up to display inline plots. Matplotlib is a popular Python plotting library that provides a comprehensive set of tools for creating static, animated, and interactive visualizations. Now, let’s dive into how we can make these inline plots larger using each of these libraries. The most common libraries used to create inline plots in Jupyter Notebook are Matplotlib, Seaborn, and Plotly. They are embedded within the notebook cells, making it easy to share and document your work. Inline plots are visualizations that appear directly in the notebook, instead of being displayed in a separate window. It’s particularly popular among data scientists for its flexibility and ease of use. The Jupyter Notebook is an open-source web application that allows you to create and share live code, equations, visualizations, and narrative text. Introduction to Inline Plots in Jupyter Notebook
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