Generates interactive, publication-quality scientific and statistical charts using Plotly Express and Graph Objects.
This skill provides comprehensive guidance for creating interactive visualizations in Python using the Plotly library. It enables users to build everything from quick statistical plots with Plotly Express to complex, fine-grained dashboards using Graph Objects. Whether you're conducting exploratory data analysis, building financial candlestick charts, or creating 3D scientific models, this skill provides the necessary patterns for styling, interactivity, and multi-format exports including HTML and static images.
主要功能
01Integrated interactivity features like hover tooltips, zooming, and animations.
02Access to 40+ interactive chart types including statistical, scientific, and financial plots.
03Multi-format export options for interactive HTML or static images (PNG, PDF, SVG).
041 GitHub stars
05Advanced styling capabilities with built-in templates and deep layout customization.
06Dual-API support for both high-level Plotly Express and low-level Graph Objects.
使用场景
01Visualizing complex scientific datasets with 3D mesh or contour plots.
02Creating statistical distribution visualizations for academic publications or reports.
03Building interactive financial dashboards for time-series and OHLC data analysis.
