Software:Matplotlib

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Short description: Library for creating static, animated, and interactive visualizations in Python.
Matplotlib
Screenshot of Matplotlib plots and code
Original author(s)John D. Hunter
Developer(s)Michael Droettboom, et al.
Initial release2003; 22 years ago (2003)[1]
Written inPython
EngineCairo, Anti-Grain Geometry
Operating systemCross-platform
TypePlotting
LicenseMatplotlib license
Websitematplotlib.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.[2] SciPy makes use of Matplotlib.

Matplotlib was originally written by John D. Hunter. Since then it has had an active development community[3] 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[4] and was further joined by Thomas Caswell.[5][6] Matplotlib is a NumFOCUS fiscally sponsored project.[7]

Comparison with MATLAB

Pyplot is a Matplotlib module that provides a MATLAB-like interface.[8] 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]

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.[9]

  • Basemap: map plotting with various map projections, coastlines, and political boundaries[10]
  • Cartopy: a mapping library featuring object-oriented map projection definitions, and arbitrary point, line, polygon and image transformation capabilities.[11] (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)[12]
  • 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[13]
  • Chaco[14]
  • DISLIN
  • GNU Octave
  • gnuplotlib – plotting for numpy with a gnuplot backend
  • Gnuplot-py[15]
  • PLplot – Python bindings available
  • SageMath – uses Matplotlib to draw plots
  • SciPy (modules plt and gplt)
  • Plotly – for interactive, online Matplotlib and Python graphs
  • Bokeh[16] – Python interactive visualization library that targets modern web browsers for presentation

References

  1. ↑ "Copyright Policy". https://matplotlib.org/users/license.html#copyright-policy. 
  2. ↑ "API Overview". matplotlib.org. https://matplotlib.org/stable/api/index.html#module-pylab. 
  3. ↑ "Matplotlib github stats". matplotlib.org. https://matplotlib.org/users/github_stats.html. 
  4. ↑ "Announcing Michael Droettboom as the lead Matplotlib developer". matplotlib.org. http://matplotlib.1069221.n5.nabble.com/ANN-Michael-Droettboom-matplotlib-lead-developer-td5037.html. 
  5. ↑ "Matplotlib Lead Developer Explains Why He Can't Fix the Docs—But You Can – NumFOCUS" (in en-US). NumFOCUS. 2017-10-05. https://www.numfocus.org/blog/matplotlib-lead-developer-explains-why-he-cant-fix-the-docs-but-you-can. 
  6. ↑ "Credits – Matplotlib 2.2.2 documentation". https://matplotlib.org/users/credits.html. 
  7. ↑ "NumFOCUS Sponsored Projects". NumFOCUS. https://numfocus.org/sponsored-projects. 
  8. ↑ "Matplotlib: Python plotting — Matplotlib 3.2.0 documentation". https://matplotlib.org/index.html. 
  9. ↑ "Toolkits". matplotlib.org. https://matplotlib.org/thirdpartypackages/index.html. 
  10. ↑ Whitaker, Jeffrey. "The Matplotlib Basemap Toolkit User's Guide (v. 1.0.5)". Matplotlib Basemap Toolkit documentation. https://matplotlib.org/basemap/index.html. Retrieved 24 April 2013. 
  11. ↑ Elson, Philip. "Cartopy". http://scitools.org.uk/cartopy/docs/latest/. Retrieved 24 April 2013. 
  12. ↑ Schlömer, Nico. "tikzplotlib". https://github.com/nschloe/tikzplotlib. Retrieved 7 November 2016. 
  13. ↑ "Bigglessimple, elegant python plotting". biggles.sourceforge.net. http://biggles.sourceforge.net/. Retrieved 24 November 2010. 
  14. ↑ "Chaco". code.enthought.com. http://docs.enthought.com/chaco/. 
  15. ↑ "Gnuplot.py on". gnuplot-py.sourceforge.net. http://gnuplot-py.sourceforge.net/. Retrieved 24 November 2010. 
  16. ↑ "Bokeh 2.0.0 Documentation". https://docs.bokeh.org/en/latest/. 



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