Matplotlib Axes Example

Matplotlib Axes Example For more detailed instructions see the installation guide Learn How to use Matplotlib

Source code 2x png png If a plot does not show up please check Troubleshooting Where to go next Check out Plot types to get an overview of the types of plots you can create with Matplotlib Please also see Quick start guide for an overview of how Matplotlib works and Matplotlib Application Interfaces APIs for an explanation of the trade offs between the supported user APIs

Matplotlib Axes Example

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Currently Matplotlib supports PyQt PySide PyGObject Tkinter and wxPython When embedding Matplotlib in a GUI you must use the Matplotlib API directly rather than the pylab pyplot Tutorials This page contains a few tutorials for using Matplotlib For the old tutorials see below For shorter examples see our examples page You can also find external resources and a FAQ in our

If you would like to contribute to Matplotlib or otherwise need to install the latest development code please follow the instructions in Setting up Matplotlib for development If the color is the only part of the format string you can additionally use any matplotlib colors spec e g full names green or hex strings 008000 Examples using matplotlib pyplot plot

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Plot types Overview of many common plotting commands provided by Matplotlib See the gallery for more examples and the tutorials page for longer examples Matplotlib supports colors from the xkcd color survey e g xkcd sky blue Since this contains almost 1000 colors a figure of this would be very large and is thus omitted here

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Matplotlib Documentation Matplotlib 3 10 5 Documentation

https://matplotlib.org › stable
For more detailed instructions see the installation guide Learn How to use Matplotlib

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Getting Started Matplotlib 3 10 5 Documentation

https://matplotlib.org › stable › users › getting_started
Source code 2x png png If a plot does not show up please check Troubleshooting Where to go next Check out Plot types to get an overview of the types of plots you can create with Matplotlib


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