Web Reference: 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 event system to build customized data exploration tools. Plotly's Python graphing library makes interactive, publication-quality graphs. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts. Jul 23, 2025 · When working in a Jupyter Notebook environment, you can produce interactive Matplotlib plots that allow you to explore data and interact with the charts dynamically. In this article, we'll explore how to create such interactive plots using Matplotlib within Jupyter.
YouTube Excerpt: In this video, we learn how to
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