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2. Matplotlib — Visualization with Python

   matplotlib.org

   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 plots. Make interactive figures that can zoom, pan, update. Customize visual style and layout.

3. Pyplot tutorial — Matplotlib 3.9.2 documentation

   matplotlib.org/stable/tutorials/pyplot.html

   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 figure, plots some lines in a plotting area, decorates the plot with labels, etc.

4. Getting started — Matplotlib 3.9.2 documentation

   matplotlib.org/stable/users/getting_started

   Check out Plot types to get an overview of the types of plots you can create with Matplotlib. Learn Matplotlib from the ground up in the Quick-start guide.

5. Quick start guide — Matplotlib 3.9.2 documentation

   matplotlib.org/stable/users/explain/quick_start.html

   This tutorial covers some basic usage patterns and best practices to help you get started with Matplotlib. import matplotlib.pyplot as plt import numpy as np A simple example #

6. Installation — Matplotlib 3.9.2 documentation

   matplotlib.org/stable/install

   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. pip is installed by default with python.org and Homebrew Python, but needs to be manually installed on Macports with

7. 3D plotting — Matplotlib 3.9.2 documentation

   matplotlib.org/stable/gallery/mplot3d

   3D plotting. #. Plot 2D data on 3D plot. Demo of 3D bar charts. Create 2D bar graphs in different planes. 3D box surface plot. Plot contour (level) curves in 3D. Plot contour (level) curves in 3D using the extend3d option. Project contour profiles onto a graph.

8. Matplotlib documentation — Matplotlib 3.9.2 documentation

   matplotlib.org/stable

   Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations.

9. List of named colors — Matplotlib 3.9.2 documentation

   matplotlib.org/stable/gallery/color/named_colors

   This plots a list of the named colors supported by Matplotlib. For more information on colors in matplotlib see. the Specifying colors tutorial; the matplotlib.colors API; the Color Demo.

10. Examples — Matplotlib 3.9.2 documentation

    matplotlib.org/stable/gallery

    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 procedural interface, so take a look at the examples/api directory for some example code working with the API.

11. Matplotlib cheatsheets — Visualization with Python

    matplotlib.org/cheatsheets

    Matplotlib cheatsheets — Visualization with Python. Plot types. User guide. Tutorials. Examples. Reference. Contribute. Releases.