plotly

Python graphing library for creating interactive, publication-quality visualizations with 40+ chart types. Install Plotly: Basic usage with Plotly Express (high-level API): For quick, standard visualizations with sensible defaults: See reference/plotly-express.md for complete guide. For fine-grained control and custom visualizations: See reference/graph-objects.md for complete guide. Note: Plotly Express returns graph objects Figure, so you can combine approaches: Plotly supports 40+ chart types organized into categories: Basic Charts: scatter, line, bar, pie, area, bubble Statistical Charts: histogram, box plot, violin, distribution, error bars Scientific Charts: heatmap, contour, ternary, image display Financial Charts: candlestick, OHLC, waterfall, funnel, time series Maps: scatter maps, choropleth, density maps (geographic visualization) 3D Charts: scatter3d, surface, mesh, cone, volume Specialized: sunburst, treemap, sankey, parallel coordinates, gauge For detailed examples and usage of all chart types, see reference/chart-types.md . Subplots: Create multi-plot figures with shared axes: Templates: Apply coordinated styling: Customization: Control every aspect of appearance: For complete layout and styling options, see reference/layouts-styling.md . Built-in interactive features: For complete interactivity guide, see reference/export-interactivity.md . Interactive HTML:...