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In this tutorial we will learn how to create animated graphs in Python using popular data visualization libraries such as Matplotlib, Plotly, Seaborn, and Bokeh.
Creating animated graphs in Python
You can create animated graphs in Python using various libraries.
Some of the most common libraries for making animated graphs are as follows:
1) Matplotlib
Matplotlib is a popular data visualization library in Python that can be used to create animated plots. The animation module in Matplotlib can be used to create animations in the form of line plots, scatter plots, bar charts, and many more.
2) Plotly
Plotly is another popular data visualization library in Python that allows you to create interactive plots and animations. Plotly provides a simple syntax to create animations and supports a wide range of chart types.
3) Seaborn
Seaborn is a Matplotlib-based Python data visualisation package. Seaborn provides a high-level interface for creating statistical graphics and supports animated plots as well.
4) Bokeh
Bokeh is a Python library that allows you to construct interactive visualisations and web-based data applications. Bokeh provides a simple syntax to create animated plots and supports a wide range of chart types.
To get started with creating animated graphs using these libraries, you can check out their documentation and examples.