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plotnine

Official

Create stunning Python data visualizations.

Data & Analytics#data visualization#charts#graphics#python#ggplot#plotnine
AuthorDAAF-Contribution-Community
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a comprehensive reference for creating publication-quality data visualizations in Python using the plotnine library, which implements the grammar of graphics.

Core Features & Use Cases

  • Grammar of Graphics: Build complex plots declaratively by layering components.
  • Extensive Geoms: Supports scatter plots, line plots, bar charts, histograms, box plots, and more.
  • Customization: Control aesthetics like color, size, shape, and themes for polished output.
  • Use Case: Generate a scatter plot showing the relationship between two variables, colored by a categorical group, with custom axis labels and a minimal theme.

Quick Start

Use the plotnine skill to create a scatter plot of 'sepal_length' vs 'sepal_width' from the iris dataset, coloring points by 'species'.

Dependency Matrix

Required Modules

None required

Components

references

💻 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: plotnine
Download link: https://github.com/DAAF-Contribution-Community/daaf/archive/main.zip#plotnine

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