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  1. Matplotlib — Visualization with Python

    Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Create publication quality …

  2. Pyplot tutorial — Matplotlib 3.10.7 documentation

    matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a …

  3. Installation — Matplotlib 3.10.7 documentation

    If you are using Python from https://www.python.org, Homebrew, or Macports, then you can use the standard pip installer to install Matplotlib binaries in the form of wheels.

  4. Matplotlib documentation — Matplotlib 3.10.7 documentation

    Cheatsheets Matplotlib 3.10.7 documentation # Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations. Install # pip pip install matplotlib conda conda …

  5. Getting started — Matplotlib 3.10.7 documentation

    (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 …

  6. Quick start guide — Matplotlib 3.10.7 documentation

    Matplotlib's documentation and examples use both the OO and the pyplot styles. In general, we suggest using the OO style, particularly for complicated plots, and functions and scripts that …

  7. Examples — Matplotlib 3.10.7 documentation

    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 …

  8. Plot types — Matplotlib 3.10.7 documentation

    Plot types # Overview of many common plotting commands provided by Matplotlib. See the gallery for more examples and the tutorials page for longer examples.

  9. matplotlib.pyplot.plot — Matplotlib 3.10.7 documentation

    matplotlib.pyplot.plot # matplotlib.pyplot.plot(*args, scalex=True, scaley=True, data=None, **kwargs) [source] # Plot y versus x as lines and/or markers. Call signatures:

  10. List of named colors — Matplotlib 3.10.7 documentation

    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.