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python-plotting

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Beautiful, publication-quality visuals from Python.

Data & Analytics#visualization#plotly#plotting#matplotlib#seaborn
Authorjkitchin
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill guides Python users through plotting and visualization using Matplotlib, Seaborn, and Plotly to create static, statistical, and interactive graphics.

Core Features & Use Cases

  • Library selection: Matplotlib for static, Seaborn for statistical, Plotly for interactive plots.
  • Best practices: OO API recommended for complex plots; pyplot for quick exploration.
  • Use cases: Publication-quality figures; data exploration; interactive dashboards.

Quick Start

Build a simple static line plot with Matplotlib, then switch to a Plotly interactive visualization.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: python-plotting
Download link: https://github.com/jkitchin/skillz/archive/main.zip#python-plotting

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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