Matplotlib is the most popular Python data visualization library. It was developed by John Hunter in 2003. It is mainly used for plotting stunning charts and graphs. In addition, it is also used for visualizing the efficacy of machine learning and data science algorithms.
Matplotlib provides the pyplot module for easy plotting of line chart, scatter, bar, histogram, and other charts. In addition, the pyplot module enables you to customize the appearance and working of the graphs. Using Matplotlib, you can even save the graphs as PNG, JPG, SVG, and PDF.
One of the best features of Matplotlib is that it works seamlessly with NumPy, pandas, Seaborn, Geopandas, and other Python libraries. This makes it ideal for building reports, dashboards, and analytics-related applications. Following are the topics that are covered in the Matplotlib tutorial: