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plotly

Build and customize interactive Plotly visualizations in Python.

6|Updated Dec 30, 2025
Search Tags:#python#dashboard#interactive#visualization#plotly#charting#data-visualization
One-click install
npx skills add https://github.com/pur3v4d3r/pur3-pkb-codebase --skill plotly-pur3v4d3r
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plotly
Source: https://github.com/pur3v4d3r/pur3-pkb-codebase/tree/main/.claude/skills/__scientific-skills/plotly
Command: npx skills add https://github.com/pur3v4d3r/pur3-pkb-codebase --skill plotly-pur3v4d3r

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Plotly enables building interactive, publication-quality visualizations in Python without extensive boilerplate.

Core Features & Use Cases

  • Interactive charts: 40+ chart types including scatter, line, bar, heatmap, 3D plots, and geographic maps.
  • Express and Graph Objects: Use high-level Plotly Express for quick visuals or Graph Objects for fine-grained customization.
  • Dashboards and sharing: Export interactive HTML or static images (PNG, PDF, SVG) for dashboards, reports, and publications.

Quick Start

Install Plotly and create your first plot by importing plotly.express and calling a simple chart function.

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 plots for a data dashboard?▼

Build interactive Python plots by importing plotly.express for quick visuals or Graph Objects for fine-grained customization, then export the results as interactive HTML files for dashboards.

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

This skill supports over 40 chart types for data visualization, including scatter, line, bar, heatmap, 3D plots, and geographic maps, suitable for both scientific and analytical use cases.

Can I export static images from interactive Python charts?▼

Yes, you can export static images like PNG, PDF, or SVG from your interactive Python charts, but doing so requires the optional Kaleido dependency to be installed in your environment.

Does this approach work for generating publication-ready scientific figures?▼

Yes, you can generate publication-ready scientific figures by using Graph Objects for fine-grained customization of your visualizations and exporting them as high-quality static images.

What is the difference between Plotly Express and Graph Objects for charting?▼

Plotly Express is a high-level API for quickly creating standard chart visuals, whereas Graph Objects provides a lower-level API for detailed, fine-grained customization of complex interactive visualizations.

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