matplotly

Jupyter-native interactive matplotlib figure editor.

Edit any matplotlib figure interactively — styles, colors, labels, legends — then export reproducible Python code. Everything runs inline in your notebook.

Contents

• Installation
  • Install from PyPI
  • Backend setup
  • Development install
• Quick Start
  • 1. Pass a figure directly
  • 2. Decorator mode
  • 3. Context manager
  • What happens next
• Editor Guide
  • Layout
  • Toolbar
  • Sidebar panels
  • Canvas
  • Editing workflow
• Plot Types Reference
  • Line plots — ax.plot()
  • Scatter plots — ax.scatter()
  • Bar charts — ax.bar() / ax.barh()
  • Histograms — ax.hist()
  • Box plots — ax.boxplot()
  • Violin plots — ax.violinplot()
  • Error bars — ax.errorbar()
  • Heatmaps — ax.imshow() / ax.pcolormesh()
  • Fill regions — ax.fill_between() / ax.fill_betweenx()
  • Marginal plots
  • Multi-subplot figures
• AI Style Extraction
  • Setup
  • Supported models
  • How it works
  • Supported image formats
  • Saving extracted styles
• Style Profiles
  • Where profiles are stored
  • Saving a profile
  • Loading a profile
  • What a profile contains
  • Sharing profiles
  • Profile JSON format
• Code Export
  • What gets exported
  • How the code is structured
  • Where the code goes
• API Reference
  • matplotly()
• Examples
  • Supported plot types

Project

• Changelog

Indices and tables

• Index

• Module Index

• Search Page