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plotly

Create interactive Python visualizations with Plotly Express and Graph Objects.

Updated Mar 10, 2026
Search Tags:#dashboards#charts#interactive#visualization#data exploration#plotly express#graph objects
One-click install
npx skills add https://github.com/felixboehm/biochem-allergy --skill plotly-felixboehm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plotly
Source: https://github.com/felixboehm/biochem-allergy/tree/main/.claude/skills/plotly
Command: npx skills add https://github.com/felixboehm/biochem-allergy --skill plotly-felixboehm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the creation of complex, interactive charts and graphs, making data exploration and presentation more engaging and insightful.

Core Features & Use Cases

  • Versatile Chart Types: Supports over 40 chart types, from basic scatter plots to 3D surfaces and maps.
  • Interactivity: Enables hover info, zoom, pan, and selection for dynamic data exploration.
  • Web Embeddable: Generates HTML files that can be easily shared or embedded in web applications.
  • Use Case: Visualize sales data across different regions with interactive maps, allowing users to zoom in on specific areas and see detailed performance metrics on hover.

Quick Start

Use the plotly skill to create a scatter plot from the dataframe df with x on the x-axis and y on the y-axis.

Frequently Asked Questions about plotly

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

FAQPage Schema
How do I create interactive data visualizations in Python?▼

Interactive data visualizations in Python are created using Plotly Express and Graph Objects APIs, which generate dynamic charts with built-in hover info, zoom, and pan capabilities.

What types of interactive charts can I build for data exploration?▼

For data exploration, you can build over 40 chart types including scatter plots, line charts, bar graphs, histograms, heatmaps, 3D surfaces, and interactive maps.

Can I embed interactive charts into web applications?▼

Yes, interactive charts can be embedded into web applications because the visualization process generates standalone HTML files that are easily shared or embedded on the web.

How do I visualize regional sales data with hover details?▼

Visualize regional sales data with interactive maps to allow users to zoom into specific geographic areas and view detailed performance metrics on hover.

What's the best way to build dashboards from Python dataframes?▼

Building dashboards from Python dataframes is best handled through the Plotly Express and Graph Objects APIs, which simplify the creation of complex, publication-quality interactive graphs.

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