plotly

Create interactive web-embeddable visualizations from data with Plotly Express and graph_objects.

48|6|Updated Mar 9, 2026
One-click install
npx skills add https://github.com/qinyan-ai/qinyan-academic-skills --skill plotly-qinyan-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: plotly
Source: https://github.com/qinyan-ai/qinyan-academic-skills/tree/main/skills/11-%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E4%B8%8E%E7%BB%9F%E8%AE%A1%E5%BB%BA%E6%A8%A1/plotly
Command: npx skills add https://github.com/qinyan-ai/qinyan-academic-skills --skill plotly-qinyan-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Plotly enables turning raw data into rich, interactive visualizations that can be embedded in dashboards or web pages, offering hover details, zoom, and dynamic exploration without heavy boilerplate.

Core Features & Use Cases

  • Interactive chart types: 40+ charts including scatter, bar, line, heatmaps, 3D plots, and geographic maps.
  • Flexible APIs: Plotly Express for quick visuals and graph_objects for fine-grained customization.
  • Web integration: Export to HTML, Dash-ready components, and embeddable widgets for reports and applications.

Quick Start

Install Plotly and start building interactive charts with a few lines of code.

Frequently Asked Questions about plotly

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create interactive Python visualizations for web dashboards?

You can create interactive Python visualizations for web dashboards using Plotly, which outputs HTML-embeddable Figure objects compatible with Dash integration and offers hover details, zoom, and dynamic exploration without heavy boilerplate.

Does Plotly Express vs graph_objects offer different customization levels?

Plotly Express provides high-level APIs for quick visuals, while graph_objects offers low-level APIs for fine-grained, detailed customization of your interactive charts and figures.

What chart types are supported for data exploration in Python?

Plotly supports 40+ interactive chart types for data exploration, including scatter, bar, line, heatmaps, 3D plots, and geographic maps, all generated via Python pipelines.

Can I export interactive charts to HTML for web embedding?

Yes, you can export interactive charts to HTML for web embedding. Plotly generates web-embeddable Figure objects and widgets suitable for reports and web applications.

What is the best way to build 3D plots and geographic maps in Python?

The best way to build 3D plots and geographic maps in Python is using Plotly, which natively supports these 40+ interactive chart types and allows dynamic web-based exploration.