Matplotlib

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
Original author(s)John D. Hunter
Developer(s)Michael Droettboom, et al.
Initial release2003 (2003)[1]
Stable release
3.7.1[2] Edit this on Wikidata / 4 March 2023 (4 March 2023)
Repository
Written inPython
Engine Cairo, Anti-Grain Geometry
Operating systemCross-platform
TypePlotting
LicenseMatplotlib license
Websitematplotlib.org

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]

Matplotlib 2.0.x supports Python versions 2.7 through 3.10. Python 3 support started with Matplotlib 1.2. Matplotlib 1.4 is the last version to support Python 2.6.[9] Matplotlib has pledged not to support Python 2 past 2020 by signing the Python 3 Statement.[10]

Comparison with MATLAB

Pyplot is a Matplotlib module that provides a MATLAB-like interface.[11] Matplotlib is designed to be as usable as MATLAB, with the ability to use Python, and the advantage of being free and open-source.

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

Toolkits

Several toolkits are available which extend Matplotlib functionality. Some are separate downloads, others ship with the Matplotlib source code but have external dependencies.[12]

  • Basemap: map plotting with various map projections, coastlines, and political boundaries[13]
  • Cartopy: a mapping library featuring object-oriented map projection definitions, and arbitrary point, line, polygon and image transformation capabilities.[14] (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)[15]
  • 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[16]
  • Chaco[17]
  • DISLIN
  • GNU Octave
  • gnuplotlib - plotting for numpy with a gnuplot backend
  • Gnuplot-py[18]
  • PLplot – Python bindings available
  • SageMath – uses Matplotlib to draw plots
  • SciPy (modules plt and gplt)
  • Plotly – for interactive, online Matplotlib and Python graphs
  • Bokeh[19] – Python interactive visualization library that targets modern web browsers for presentation

References
  1. "Copyright Policy".
  2. "Release 3.7.1". 4 March 2023. Retrieved 19 March 2023.
  3. "API Overview". matplotlib.org.{{cite web}}: CS1 maint: url-status (link)
  4. "Matplotlib github stats". matplotlib.org.
  5. "Announcing Michael Droettboom as the lead Matplotlib developer". matplotlib.org. Archived from the original on 2020-10-27. Retrieved 2013-04-24.
  6. "Matplotlib Lead Developer Explains Why He Can't Fix the Docs—But You Can – NumFOCUS". NumFOCUS. 2017-10-05. Retrieved 2018-04-11.
  7. "Credits – Matplotlib 2.2.2 documentation". matplotlib.org. Retrieved 2018-04-11.
  8. "NumFOCUS Sponsored Projects". NumFOCUS. Retrieved 2021-10-25.
  9. "Installing – Matplotlib 2.0.2 documentation". Retrieved 2017-06-23.
  10. "Add Matplotlib to list by takluyver · Pull Request #20 · python3statement/python3statement.github.io". GitHub. Retrieved 2018-04-11.
  11. "Matplotlib: Python plotting — Matplotlib 3.2.0 documentation". matplotlib.org. Retrieved 2020-03-14.
  12. "Toolkits". matplotlib.org.
  13. Whitaker, Jeffrey. "The Matplotlib Basemap Toolkit User's Guide (v. 1.0.5)". Matplotlib Basemap Toolkit documentation. Retrieved 24 April 2013.
  14. Elson, Philip. "Cartopy". Retrieved 24 April 2013.
  15. Schlömer, Nico. "tikzplotlib". GitHub. Retrieved 7 November 2016.
  16. "Bigglessimple, elegant python plotting". biggles.sourceforge.net. Retrieved 24 November 2010.
  17. "Chaco". code.enthought.com.
  18. "Gnuplot.py on". gnuplot-py.sourceforge.net. Retrieved 24 November 2010.
  19. "Bokeh 2.0.0 Documentation". docs.bokeh.org. Retrieved 2020-03-14.
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