
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.
Widgets — Matplotlib 3.10.8 documentation
Examples Widgets Widgets # Examples of how to write primitive, but GUI agnostic, widgets in matplotlib Annotated cursor Buttons
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 …
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.
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 …
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.
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 …
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
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 …
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.