Does Plotly handle large datasets efficiently?

Plotly can become slow with >50,000 points. To maintain performance, use WebGL rendering by setting render_mode='webgl' or use data decimation techniques before plotting.

Should I use Plotly Express or Graph Objects?

Use Plotly Express (px) for 90% of tasks as it is more concise and works seamlessly with tidy DataFrames. Use Graph Objects (go) only when you need low-level, granular control over specific trace attributes.

Can Plotly be used for geographic data?

Yes, Plotly has excellent support for geospatial analysis, including scatter_geo for point data and choropleth_mapbox for region-based data using GeoJSON.

How do I share Plotly charts with non-technical users?

The best way is to use fig.write_html('filename.html'). This creates a standalone interactive file that can be opened in any web browser without requiring a Python environment.

Plotly Interactive Visualization

Name: Plotly Interactive Visualization
Author: tondevrel

bytondevrel

•

データサイエンスとML

Generates interactive, web-based charts and complex data dashboards using Python's high-level Plotly library.

The Plotly skill empowers Claude to create sophisticated interactive visualizations ranging from simple statistical charts to complex 3D surfaces and geospatial maps. By leveraging both the high-level Plotly Express API for rapid development and Graph Objects for granular control, this skill enables the generation of production-ready dashboards, financial candlesticks, and animated time-series plots that can be shared as standalone HTML files or integrated into Jupyter notebooks. It includes best practices for handling tidy data, optimizing performance for large datasets using WebGL, and styling layouts for professional presentation.

主な機能

011 GitHub stars

02High-level Plotly Express integration for rapid data exploration

03Interactive web-based charting with zoom, pan, and hover capabilities

04Advanced geospatial mapping with Mapbox and choropleth integration

05Support for 3D data visualization including surfaces and mesh plots

06Automated HTML report generation for sharing interactive findings

ユースケース

01Exploratory data analysis with interactive tooltips and multi-dimensional filtering

02Visualizing complex financial market trends with candlestick and OHLC charts

03Creating standalone interactive HTML reports for non-technical stakeholders

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tondevrel/scientific-agent-skills plotly

For use in Claude.ai and ChatGPT

Download Skill