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 | 3.9.1[2] ![]() |
Repository |
|
Written in | Python |
Engine | Cairo, Anti-Grain Geometry |
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 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]
Comparison with MATLAB
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]
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.[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]
Related projects
- 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
andgplt
) - Plotly – for interactive, online Matplotlib and Python graphs
- Bokeh[20] – Python interactive visualization library that targets modern web browsers for presentation
References
- ^ "Copyright Policy".
- ^ "Release 3.9.1". 4 July 2024. Retrieved 23 July 2024.
- ^ "API Overview". matplotlib.org.
- ^ "Matplotlib github stats". matplotlib.org.
- ^ "Announcing Michael Droettboom as the lead Matplotlib developer". matplotlib.org. Archived from the original on 2020-10-27. Retrieved 2013-04-24.
- ^ "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.
- ^ "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. "tikzplotlib". GitHub. Retrieved 7 November 2016.
- ^ "GeoPandas 0.14.4 — GeoPandas 0.14.4+0.g60c9773.dirty documentation". geopandas.org. Retrieved 2024-04-29.
- ^ Jordahl, Kelsey, geopandas: Geographic pandas extensions, retrieved 2024-04-29
- ^ "Using cartopy with matplotlib — cartopy 0.15.0 documentation". scitools.org.uk. Retrieved 2024-04-30.
- ^ "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.
- ^ "Bokeh 2.0.0 Documentation". docs.bokeh.org. Retrieved 2020-03-14.
External links
![](http://upload.wikimedia.org/wikipedia/en/thumb/4/4a/Commons-logo.svg/30px-Commons-logo.svg.png)
- Official website
- v
- t
- e
- NumPy
- SciPy
- matplotlib
- pandas
- scikit-learn
- scikit-image
- MayaVi
- more