Matplotlib Online Tutorials

Pyplot is a Matplotlib module that provides a MATLAB-like interface. Matplotlib is designed to be as usable as MATLAB, with the ability to use Python, and the advantage of being free and open-source.

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  Line plot
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  Histogram
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  Scatter plot
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  3D plot
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  Image plot
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  Contour plot
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  Scatter plot
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  Polar plot
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  Line plot
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  3-D plot
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  Image plot

Several toolkits are available which extend Matplotlib functionality. Some are separate downloads, others ship with the Matplotlib source code but have external dependencies.^[10]

• Basemap: map plotting with various map projections, coastlines, and political boundaries^[11]
• Cartopy: a mapping library featuring object-oriented map projection definitions, and arbitrary point, line, polygon and image transformation capabilities.^[12] (Matplotlib v1.2 and above)
• Excel tools: utilities for exchanging data with Microsoft Excel
• GTK tools: interface to the GTK library
• Qt interface
• Mplot3d: 3-D plots
• Natgrid: interface to the natgrid library for gridding irregularly spaced data.
• tikzplotlib: export to Pgfplots for smooth integration into LaTeX documents (formerly known as matplotlib2tikz)^[13]
• Seaborn: provides an API on top of Matplotlib that offers sane choices for plot style and color defaults, defines simple high-level functions for common statistical plot types, and integrates with the functionality provided by Pandas

• Biggles^[14]
• Chaco^[15]
• DISLIN
• GNU Octave
• gnuplotlib – plotting for numpy with a gnuplot backend
• Gnuplot-py^[16]
• PLplot – Python bindings available
• SageMath – uses Matplotlib to draw plots
• SciPy (modules plt and gplt)
• Plotly – for interactive, online Matplotlib and Python graphs
• Bokeh^[17] – Python interactive visualization library that targets modern web browsers for presentation