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plotly

Create interactive charts from Python data with Plotly Express and Graph Objects.

Updated Mar 30, 2026
Search Tags:#charts#python#dashboard#interactive#visualization#data-analysis#plotly
One-click install
npx skills add https://github.com/ya-way/cytoclaw-skills --skill plotly-ya-way
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plotly
Source: https://github.com/ya-way/cytoclaw-skills/tree/main/workspace/skills/labclaw-viz-plotly
Command: npx skills add https://github.com/ya-way/cytoclaw-skills --skill plotly-ya-way

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Create accessible, interactive data visualizations from Python data sources to communicate insights quickly and engage audiences.

Core Features & Use Cases

  • Interactive charts and dashboards across 40+ chart types using Plotly Express and Graph Objects.
  • Web-embeddable figures with export options to HTML, PNG, and PDF for reports and web apps.
  • Seamless integration with Python data stacks (pandas, numpy) for rapid, exploratory analysis.

Quick Start

Install Plotly and start creating your first interactive chart from a pandas.DataFrame.

Frequently Asked Questions about plotly

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

FAQPage Schema
How do I create interactive charts from a pandas DataFrame?▼

To create interactive charts from a pandas DataFrame, use Plotly Express and Graph Objects to generate publication-quality visualizations. This enables rapid exploratory analysis directly from Python data sources.

Can I embed interactive visualizations in web apps?▼

Yes, you can embed interactive visualizations in web apps. The tool provides web-embeddable figures with export options to HTML, PNG, and PDF, enabling integration of interactive charts into web applications and reports.

What is the best way to build a dashboard with 40+ chart types?▼

The best way to build a dashboard with 40+ chart types is by utilizing Plotly Express and Graph Objects. This approach provides interactive features across numerous chart varieties, enabling quick data exploration and embedding in web apps.

Does this visualization tool work with numpy and pandas?▼

Yes, this visualization tool works with numpy and pandas. It offers seamless integration with Python data stacks, allowing you to process data from these sources to build interactive, publication-quality visualizations for data analysis.

How do I export interactive charts to HTML or PDF?▼

To export interactive charts to HTML or PDF, use the built-in export options provided by the visualization library. This allows you to save interactive figures for use in reports, web apps, and other publication formats.

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