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Colormaps in Elm geared towards data visualization and scientific plotting.
version 1.1.0
license BSD3
native-modules False
elm-version 0.18.0 <= v < 0.19.0
Tag 1.1.0
Committed At 2018-05-20 13:25:13 UTC
elm-lang/core 5.1.1 <= v < 6.0.0 5.1.1

README

Elm Colormaps

elm-colormaps is a collection of high-quality colormaps that are intended for data visualization and scientific plotting.

For now it mainly provides a port of the four fantastic colormaps (magma, inferno, plasma, and viridis) that are included in matplotlib since version 1.5. They are perceptually uniform, colorblind friendly and can be printed out in grayscale with minimal loss of information.

magma, inferno, plasma, and viridis

This library simply provides these colormaps as functions of type Float -> Color, where the input is expected to be between 0 and 1.

To use, simply import Color.Colormaps and use the functions magma, inferno, plasma, and viridis.

Custom colormaps

The library provides a function fromData : List (Int, Int, Int) that can be used to define custom colormaps from list of RGB tuples that range from 0 to 255 in value. An example for this can be found in the examples directory.

Interop with elm-css

Since elm-css currently has a different Color type than the Base library, colors from Colormap have to be converted. To keep dependencies to a minimum, elm-colormaps does not ship with a conversion function. However, it can easily be written as follows:

colorCoreToCss : Color.Color -> Css.Color
colorCoreToCss c =
    let
        { red, green, blue, alpha } =
            Color.toRgb c
    in
        Css.rgba red green blue alpha

Examples

The examples directory contains code illustrating all abovementioned functionality. Everything can be run at once by starting elm-reactor from within that directory and opening Example.elm.

References

The original exposition on why and how the new Matplotlib colormaps were created. Highly recommended:

https://bids.github.io/colormap/

Some more information on the linearity of several colormaps, as well as some additional ones that might be interesting to port to Elm in the future:

https://matplotlib.org/users/colormaps.html

https://matplotlib.org/gallery/color/colormap_reference.html