Interactive data visualization in Python transforms static charts into dynamic tools for exploration. Using Matplotlib with ipympl in JupyterLab allows zooming, panning, and real-time updates.
Python’s ecosystem of visualization libraries—Matplotlib, Seaborn, Plotly, Bokeh, and Dash—caters to different needs, from precise static charts to rich interactive dashboards. The right choice ...