Version 3.0.2
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-Matplotlib is a Python 2D plotting library which produces publication quality -figures in a variety of hardcopy formats and interactive environments across -platforms. Matplotlib can be used in Python scripts, the Python and IPython -shells, the Jupyter notebook, web application servers, and four graphical user -interface toolkits.
- -Matplotlib tries to make easy things easy and hard things possible. You -can generate plots, histograms, power spectra, bar charts, errorcharts, -scatterplots, etc., with just a few lines of code. For examples, see the -sample plots and thumbnail -gallery.
-For simple plotting the pyplot module provides a MATLAB-like interface,
-particularly when combined with IPython. For the power user, you have full
-control of line styles, font properties, axes properties, etc, via an object
-oriented interface or via a set of functions familiar to MATLAB users.
Visit the Matplotlib installation instructions.
-This is the documentation for Matplotlib version 3.0.2.
-To get started, read the User's Guide.
- - -Trying to learn how to do a particular kind of plot? Check out the -examples gallery or the list of plotting commands.
-There are many external learning resources available -including printed material, videos and tutorials.
-Matplotlib is a welcoming, inclusive project, and we try to follow the Python -Software Foundation Code of Conduct in everything we do.
-Check the FAQ and the API docs.
-For help, join the gitter channel and the matplotlib-users, -matplotlib-devel, and matplotlib-announce mailing lists, or check out the -Matplotlib tag on stackoverflow. The search tool searches -all of the documentation, including full text search of over 350 complete -examples which exercise almost every corner of Matplotlib.
-You can file bugs, patches and feature requests on the issue tracker, but it -is a good idea to ping us on the mailing list too.
-To keep up to date with what's going on in Matplotlib, see the what's -new page or browse the source code. Anything that could -require changes to your existing code is logged in the API changes file.
-Matplotlib ships with several add-on toolkits,
-including 3d plotting with mplot3d, axes helpers in axes_grid1 and axis
-helpers in axisartist.
A large number of third party packages -extend and build on Matplotlib functionality, including several higher-level -plotting interfaces (seaborn, holoviews, ggplot, ...), and two projection -and mapping toolkits (basemap and cartopy).
-Matplotlib is the brainchild of John Hunter (1968-2012), who, along with its -many contributors, have put an immeasurable amount of time and effort into -producing a piece of software utilized by thousands of scientists worldwide.
-If Matplotlib contributes to a project that leads to a scientific publication, -please acknowledge this work by citing the project. A ready-made citation -entry is available.
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-Please consider donating to the Matplotlib project through -the Numfocus organization or to the John Hunter Technology Fellowship.
-The Matplotlib license is based on the Python Software -Foundation (PSF) license.
-There is an active developer community and a long list of people who have made -significant contributions.
-Matplotlib is hosted on Github. Issues -and Pull requests are tracked at Github too.
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