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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 plots. …

  2. Examples — Matplotlib 3.10.8 documentation

    Download all examples in Python source code: gallery_python.zip Download all examples in Jupyter notebooks: gallery_jupyter.zip

  3. Pyplot tutorial — Matplotlib 3.10.8 documentation

    Since python ranges start with 0, the default x vector has the same length as y but starts with 0; therefore, the x data are [0, 1, 2, 3]. plot is a versatile function, and will take an arbitrary number of …

  4. Plot types — Matplotlib 3.10.8 documentation

    3D and volumetric data # Plots of three-dimensional (x, y, z), surface f (x, y) = z, and volumetric V x, y, z data using the mpl_toolkits.mplot3d library.

  5. Matplotlib cheatsheets — Visualization with Python

    Contribute # Issues, suggestions, or pull-requests gratefully accepted at matplotlib/cheatsheets

  6. 3D plotting — Matplotlib 3.10.8 documentation

    Plot 2D data on 3D plot Demo of 3D bar charts Clip the data to the axes view limits Create 2D bar graphs in different planes 3D box surface plot Plot contour (level) curves in 3D Plot contour (level) …

  7. Quick start guide — Matplotlib 3.10.8 documentation

    Matplotlib graphs your data on Figure s (e.g., windows, Jupyter widgets, etc.), each of which can contain one or more Axes, an area where points can be specified in terms of x-y coordinates (or theta-r in a …

  8. Interactive figures — Matplotlib 3.10.8 documentation

    Interactive figures # Interactivity can be invaluable when exploring plots. The pan/zoom and mouse-location tools built into the Matplotlib GUI windows are often sufficient, but you can also use the …

  9. Matplotlib documentation — Matplotlib 3.10.8 documentation

    Cheatsheets Matplotlib 3.10.8 documentation # Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations. Install # pip pip install matplotlib conda conda install -c …

  10. Timeline with lines, dates, and text - Matplotlib

    Download Jupyter notebook: timeline.ipynb Download Python source code: timeline.py Download zipped: timeline.zip