Screenshot of Matplotlib plots and code | |
Original author(s) | John D. Hunter |
---|---|
Developer(s) | Michael Droettboom, et al. |
Initial release | 2003[1] |
Stable release | 3.7.0[2] ![]() |
Repository | |
Written in | Python |
Engine |
|
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]
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]
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.
Several toolkits are available which extend Matplotlib functionality. Some are separate downloads, others ship with the Matplotlib source code but have external dependencies.[12]
PyCha
[19] – libcairo implementationPyPlotter
[20] – compatible with JythonMatplotlib
to draw plotsplt
and gplt
)wx.lib.plot.py
)