Matplotlib
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Original author(s) | John D. Hunter |
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Developer(s) | Michael Droettboom, et al. |
Initial release | 2003[1] |
Stable release | 3.5.0[2]
/ 16 November 2021 |
Repository | |
Written in | Python |
Engine |
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Operating system | Cross-platform |
Type | Plotting |
License | Matplotlib license |
Website | 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 was originally written by John D. Hunter. Since then it has 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 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 which 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
Histogram
Scatter plot
3D plot
Image plot
Contour plot
Scatter plot
Polar plot
Line plot
3-D 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.
- matplotlib2tikz: export to Pgfplots for smooth integration into LaTeX documents[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
Related projects[]
- Biggles[16]
- Chaco[17]
- DISLIN
- GNU Octave
- Gnuplot-py[18]
- PLplot – Python bindings available
PyCha
[19] – libcairo implementationPyPlotter
[20] – compatible with Jython- SageMath – uses
Matplotlib
to draw plots - SciPy (modules
plt
andgplt
) - wxPython (module
wx.lib.plot.py
) - Plotly – for interactive, online Matplotlib and Python graphs
- Bokeh[21] – Python interactive visualization library that targets modern web browsers for presentation
References[]
- ^ "Copyright Policy".
- ^ "Release 3.5.0".
- ^ "API Overview". matplotlib.org.
{{cite web}}
: CS1 maint: url-status (link) - ^ "Matplotlib github stats". matplotlib.org.
- ^ "Announcing Michael Droettboom as the lead Matplotlib developer". matplotlib.org.
- ^ "Matplotlib Lead Developer Explains Why He Can't Fix the Docs—But You Can – NumFOCUS". NumFOCUS. 2017-10-05. Retrieved 2018-04-11.
- ^ "Credits – Matplotlib 2.2.2 documentation". matplotlib.org. Retrieved 2018-04-11.
- ^ "NumFOCUS Sponsored Projects". NumFOCUS. Retrieved 2021-10-25.
- ^ "Installing – Matplotlib 2.0.2 documentation". Retrieved 2017-06-23.
- ^ "Add Matplotlib to list by takluyver · Pull Request #20 · python3statement/python3statement.github.io". GitHub. Retrieved 2018-04-11.
- ^ "Matplotlib: Python plotting — Matplotlib 3.2.0 documentation". matplotlib.org. Retrieved 2020-03-14.
- ^ "Toolkits". matplotlib.org.
- ^ Whitaker, Jeffrey. "The Matplotlib Basemap Toolkit User's Guide (v. 1.0.5)". Matplotlib Basemap Toolkit documentation. Retrieved 24 April 2013.
- ^ Elson, Philip. "Cartopy". Retrieved 24 April 2013.
- ^ Schlömer, Nico. "matplotlib2tikz". Retrieved 7 November 2016.
- ^ "Bigglessimple, elegant python plotting". biggles.sourceforge.net. Retrieved 24 November 2010.
- ^ "Chaco". code.enthought.com.
- ^ "Gnuplot.py on". gnuplot-py.sourceforge.net. Retrieved 24 November 2010.
- ^ "PyCha". bitbucket.org.
- ^ "PyPlotter - graph plotting". www.eckhartarnold.de. Retrieved 2020-03-14.
- ^ "Bokeh 2.0.0 Documentation". docs.bokeh.org. Retrieved 2020-03-14.
External links[]
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Wikimedia Commons has media related to Matplotlib. |
- Free plotting software
- Free software programmed in Python
- Python (programming language) scientific libraries
- Science software that uses GTK
- Science software that uses Qt