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plotly

Generate interactive scientific and statistical visualizations from Python data using Plotly Express and graph objects.

21|2|Updated Dec 8, 2025
Search Tags:#visualization#data export#interactive charts#plotly express#graph objects#scientific plotting
One-click install
npx skills add https://github.com/silverstein/claude-scientific-skills-desktop --skill plotly-silverstein
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plotly
Source: https://github.com/silverstein/claude-scientific-skills-desktop/tree/main/corpus/plotly
Command: npx skills add https://github.com/silverstein/claude-scientific-skills-desktop --skill plotly-silverstein

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Plotly helps you turn scientific and statistical datasets into clear interactive visualizations that are suitable for analysis, reports, and dashboards.

Core Features & Use Cases

  • Interactive plotting for scientific and statistical data: Build scatter/line/bar/heatmap and many more chart types with hover tooltips and zoom/pan.
  • Two API styles for different needs: Use Plotly Express for fast plotting and graph objects for fine-grained control.
  • Export and sharing-ready outputs: Generate standalone interactive HTML and static images (PNG/PDF/SVG) for publication or slides.

Quick Start

Use the plotly skill to create an interactive scatter plot from a pandas DataFrame with hover tooltips and save it to an HTML file.

Frequently Asked Questions about plotly

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

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

Interactive scientific charts are created from a pandas DataFrame using Plotly Express for fast plotting or graph objects for detailed customization. Outputs include hover tooltips, zoom, and pan features suitable for analysis and reports.

Can I export interactive plots to static image formats like PNG or PDF?▼

Interactive plots export to static image formats including PNG, PDF, and SVG for publication or slides. Standalone interactive HTML files can also be generated for sharing dashboards and reports online.

What chart types are supported for scientific and statistical data visualization?▼

Supported scientific and statistical data visualization chart types include scatter, line, bar, heatmap, time series, maps, and 3D plots. Each chart type supports interactive features like hover tooltips and zoom functionality.

Should I use Plotly Express or graph objects for my visualization workflow?▼

Plotly Express supports fast plotting for quick interactive charts, while graph objects provide fine-grained control over chart elements. Both APIs support scientific and statistical data visualization with interactive outputs.

Does this work for building interactive dashboards and reports?▼

Interactive dashboards and reports are supported by generating standalone HTML files with interactive charts. Static images in PNG, PDF, or SVG format can also be exported for publication-ready slides and documents.

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