plotly

You can create interactive data visualizations by passing your dataframe columns to the Plotly Express or Graph Objects APIs, which generate charts like scatter plots, bar charts, and heatmaps with built-in hover and zoom features.

You can generate diverse interactive charts including scatter, line, bar, histogram, box plots, heatmaps, pie charts, 3D plots, and geographic maps. Both Plotly Express and Graph Objects APIs are supported for rendering these varied visualizations.

Yes, you can export interactive plots to static image formats like PNG, SVG, and PDF, or save them as interactive HTML files and JSON. This allows seamless sharing of your Python-generated graphs across different platforms.

Plotly Express and Graph Objects both support building 3D plots and geographic maps. You can customize the appearance and interactivity of these complex visualizations directly within your Python environment.

The best way to customize the appearance of Python graphs is by applying templates, colors, custom layouts, and annotations through the Graph Objects API. This allows detailed styling of interactive plots like histograms and box plots.

You should use Graph Objects instead of Plotly Express for data visualization when you need flexible customization of layouts and annotations beyond standard chart types. Plotly Express offers a simpler interface for rapid generation of standard interactive plots.