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  1. matplotlib.widgets — Matplotlib 3.10.8 documentation

    Matplotlib doesn't try to be too smart with respect to layout -- you will have to figure out how wide and tall you want your Axes to be to accommodate your widget.

  2. Widgets — Matplotlib 3.10.8 documentation

    Examples Widgets Widgets # Examples of how to write primitive, but GUI agnostic, widgets in matplotlib Annotated cursor Buttons

  3. ipympl — ipympl - Matplotlib

    ipympl enables using the interactive features of matplotlib in Jupyter Notebooks, Jupyter Lab, Google Colab, VSCode notebooks. Matplotlib requires a live Python kernel to have interactive plots so by …

  4. Comprehensive Example — ipympl - Matplotlib

    Debugging widget updates and matplotlib callbacks # If an error is raised in the update function then will not always display in the notebook which can make debugging difficult.

  5. matplotlib.widgets — Matplotlib 3.4.3 documentation

    Aug 13, 2021 · This is necessary because the callback registry maintains only weak-refs to the functions, which are member functions of the widget. If there are no references to the widget object it …

  6. Interactive figures — Matplotlib 3.10.8 documentation

    The pan/zoom and mouse-location tools built into the Matplotlib GUI windows are often sufficient, but you can also use the event system to build customized data exploration tools.

  7. Slider — Matplotlib 3.10.8 documentation

    References The use of the following functions, methods, classes and modules is shown in this example: matplotlib.widgets.Button matplotlib.widgets.Slider Download Jupyter notebook: slider_demo.ipynb …

  8. Radio Buttons — Matplotlib 3.10.8 documentation

    References The use of the following functions, methods, classes and modules is shown in this example: matplotlib.widgets.RadioButtons

  9. Menu — Matplotlib 3.10.8 documentation

    from dataclasses import dataclass import matplotlib.pyplot as plt import matplotlib.artist as artist import matplotlib.patches as patches from matplotlib.typing import ColorType @dataclass class …

  10. Installing — ipympl - Matplotlib

    Not all versions of ipympl are compatible with different version of Jupyterlab or all versions of Matplotlib. The below table provides a reference for which versions are compatible.