plotly

Topics in the source

• Plotly
• Quick Start
• Choosing Between APIs
• Use Plotly Express (px)
• Use Graph Objects (go)
• Core Capabilities
• 1. Chart Types
• 2. Layouts and Styling

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: Working with pandas DataFrames Creating common chart types (scatter, line, bar, histogram, etc.) Need automatic color encoding and legends Want minimal code (1-5 lines) See reference/plotly-express.md for complete guide. For fine-grained control and custom visualizations: Chart types not in Plotly Express (3D mesh, isosurface, complex financial charts) Building complex multi-trace figures from scratch Need precise control over individual components Creating specialized visualizations with custom shapes and annotations 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 serie

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