Matplotlib

Screenshot of Matplotlib plots and code
Original author(s)	John D. Hunter
Developer(s)	Michael Droettboom, et al.
Initial release	2003; 21 years ago (2003)[1]
Stable release	3.9.2[2]  / 13 August 2024; 13 days ago (13 August 2024)
Repository	github.com/matplotlib/matplotlib
Written in	Python
Engine	Cairo, Anti-Grain Geometry
Operating system	Cross-platform
Type	Plotting
License	Matplotlib license
Website	matplotlib.org

Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK. There is also a procedural "pylab" interface based on a state machine (like OpenGL), designed to closely resemble that of MATLAB, though its use is discouraged.^[3] SciPy makes use of Matplotlib.

Matplotlib was originally written by John D. Hunter. Since then it has had an active development community^[4] and is distributed under a BSD-style license. Michael Droettboom was nominated as matplotlib's lead developer shortly before John Hunter's death in August 2012^[5] and was further joined by Thomas Caswell.^[6][7] Matplotlib is a NumFOCUS fiscally sponsored project.^[8]

Pyplot is a Matplotlib module that provides a MATLAB-like interface.^[9] Matplotlib is designed to be as usable as MATLAB, with the ability to use Python, and the advantage of being free and open-source.^{[citation needed]}

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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
• GeoPandas:^[14] simplifies geospatial work in Python without needing a spatial database like PostGIS^[15]
• Cartopy: streamlines map creation in matplotlib by enabling users to specify a projection and add coastlines with a single line of code^[16]

• Biggles^[17]
• Chaco^[18]
• DISLIN
• GNU Octave
• gnuplotlib – plotting for numpy with a gnuplot backend
• Gnuplot-py^[19]
• PLplot – Python bindings available
• SageMath – uses Matplotlib to draw plots
• SciPy (modules plt and gplt)
• Plotly – for interactive, online Matplotlib and Python graphs
• Bokeh^[20] – Python interactive visualization library that targets modern web browsers for presentation

Wikimedia Commons has media related to Matplotlib.

• Official website