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In Python you can find a lot of different tools for presenting visual information. In this section I will try to describe some of these visualization modules and give some examples of their functionality.
General Python graphics
Graphical libraries with almost universal functionality for general purposes.
Matplotlib - Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.
Seaborn - Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.
Pygal - Very good Python library for building SVG or PNG files from your data. It can plot main statistical charts, as well as world map.
ggplot - Ggplot is a matplotlib based visualization library, derived from ggplot2 in R.
VisPy - VisPy is a high-performance interactive 2D/3D data visualization library leveraging the computational power of modern Graphics Processing Units (GPUs) through the OpenGL library to display very large datasets.
Mayavi - Mayavi is a general purpose, cross-platform tool for 3-D scientific data visualization.
Specific Python graphics
Graphical libraries for special tasks
Wordcloud - Word cloud is a technique for visualising frequent words in a text where the size of the words represents their frequency. Read my examples how to use wordcloud in Python
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