datahues 0.0.0

Generate perceptually uniform colour ramps for data visualisation.

datahues

Generate perceptually uniform colour ramps for data visualisation.

Overview

datahues creates smooth, visually consistent colour gradients from a start colour to an end colour. Unlike simple RGB or HSL interpolation, which can produce perceptually uneven ramps with visible banding, this library leverages the Oklab colour space — a perceptually uniform space where equal mathematical changes correspond to equal perceptual colour differences.

Core Functions

generate_hex_list(start_hex, end_hex, n_stops=512)

Between start and end colours, generates a list of hex colour codes representing points along a smooth colour ramp. It is assumed the user wants a discrete number (n_stops) of points, so no warning is given when n_stops is small (unlike in generate_cmap below). However, if these hexes are being used to create a continuous colour ramp, it is recommended to use n_stops>=128.

• Parameters:
  • start_hex: Starting colour as hex code (e.g., "#FF0000")
  • end_hex: Ending colour as hex code (e.g., "#0000FF")
  • n_stops: Number of colour stops in the ramp (default: 512)
• Returns: List of hex colour codes representing the gradient

generate_cmap(start_hex, end_hex, n_stops=512, name="interp_ramp")

Betweem start and end colours, creates a Matplotlib LinearSegmentedColormap object, forming a smooth colour ramp.

• Parameters:
  • start_hex, end_hex, n_stops: As above
  • name: The "name" of the colour ramp for matplotlib internal purposes (default: "interp_ramp")
• Returns: LinearSegmentedColormap object ready to use in matplotlib visualisation
• Warning: n_stops < 128 may produce visible banding; use larger values for smoother results

How It Works

The library converts colours through multiple colour spaces to achieve perceptual uniformity:

1. Hex → RGB — Parse hex codes into normalised [0.0, 1.0] RGB values
2. RGB → XYZ — Apply gamma correction and convert to CIE XYZ (D65 illuminant)
3. XYZ → Oklab — Convert through LMS intermediate space to Oklab (perceptually uniform)
4. Interpolate in Oklab — Create evenly-spaced values in perceptual space
5. Oklab → RGB → Hex — Reverse conversion back to hex color codes

This approach ensures that visual transitions between colours feel smooth and natural across the entire gradient.

To Do

• #TODO git tag versioning
• #TODO publish to pypi
• #TODO publish to conda-forge
• #TODO example (with picture!) in README
• #TODO blogpost