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. SciPy makes use of Matplotlib.

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

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

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


 * Basemap: map plotting with various map projections, coastlines, and political boundaries
 * Cartopy: a mapping library featuring object-oriented map projection definitions, and arbitrary point, line, polygon and image transformation capabilities. (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)
 * 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: simplifies geospatial work in Python without needing a spatial database like PostGIS
 * Cartopy: streamlines map creation in matplotlib by enabling users to specify a projection and add coastlines with a single line of code

Related projects

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