What are the visualization libraries in Python?

7 Must-Try Data Visualization Libraries in Python

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python-graph (dist: python-graph-core, mod: pygraph) is a library for working with graphs in Python . This software provides a suitable data structure for representing graphs and a whole set of important algorithms.

Matplotlib is the most popular data visualization library of Python and is a 2D plotting library. It is the most widely-used library for plotting in the Python community and is more than a decade old.6 Haz 2019

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python . Matplotlib makes easy things easy and hard things possible. Create publication quality plots. Make interactive figures that can zoom, pan, update. Customize visual style and layout.

Popularity. This is obvious, but Matplotlib is way more popular than Plotly . The main advantage of being so popular is that notebooks using Matplotlib will be easily reproduced by other people since different people’s chances of having it installed are higher. However, Plotly has been growing.

pyplot is a plotting library used for 2D graphics in python programming language . It can be used in python scripts, shell, web application servers and other graphical user interface toolkits.