Jupyter Integration

chromo-map provides exceptional integration with Jupyter notebooks, offering rich visual representations for colors, gradients, and swatches. This makes it perfect for interactive color exploration and development.

Interactive Notebook Demo

The following notebook demonstrates all the key Jupyter integration features with live examples:

Key Features

Rich Visual Display

  • Colors display as colored squares with detailed information

  • Gradients show as smooth horizontal color bars

  • Swatches organize multiple gradients in neat grids

Interactive Exploration

  • Real-time visual feedback for color manipulations

  • Immediate results when adjusting brightness, saturation, hue

  • Side-by-side comparisons of color variations

Professional Integration

  • Access to hundreds of curated color palettes

  • Visual browsing of Plotly, matplotlib, and Palettable collections

  • Perfect for iterative color design workflows

matplotlib Compatibility

  • Use any chromo-map gradient as a matplotlib colormap

  • Access professional color schemes not available in matplotlib

  • Enhanced color manipulation while maintaining full compatibility

Getting Started

To get started with chromo-map in Jupyter:

  1. Install chromo-map: pip install chromo-map

  2. Launch Jupyter: jupyter notebook or jupyter lab

  3. Import and explore:

from chromo_map import Color, Gradient, cmaps

# Colors display automatically
Color('#ff6b35')

# Gradients show as color bars
Gradient(['red', 'blue'], 20)

# Access professional palettes
cmaps.plotly_by_type['qualitative']['Plotly']

The notebook above provides comprehensive examples of all these features in action!