View Source Tucan.Scale (tucan v0.3.1)

Utilities for working with Vega-Lite scales.

Scales are functions that transform a domain of data values (numbers, dates, strings, etc.) to a range of visual values (pixels, colors, sizes).

This module exposes various helper functions for setting various scale options like the color scheme, the domain or the scale type.

Summary

Functions

Sets an arbitrary set of options to the given encoding's scale object.

Sets the domain for the given encoding channel.

Sets the scale for the given encoding channel.

Sets the x-axis domain.

Sets the x axis scale.

Sets the same [x, y] domain for x-axis and y-axis at once.

Sets the y-axis domain.

Sets the y axis scale.

Types

@type color_scheme() :: atom() | [String.t()]

Functions

Link to this function

put_options(vl, encoding, options)

View Source
@spec put_options(vl :: VegaLite.t(), encoding :: atom(), options :: keyword()) ::
  VegaLite.t()

Sets an arbitrary set of options to the given encoding's scale object.

Notice that no validation is performed, any option set will be merged with the existing scale options of the given encoding.

An ArgumentError is raised if the given encoding channel is not defined.

Link to this function

set_color_scheme(vl, scheme, opts \\ [])

View Source
@spec set_color_scheme(
  vl :: VegaLite.t(),
  scheme :: color_scheme(),
  opts :: keyword()
) :: VegaLite.t()

Sets the color scheme.

You can either set one of the predefined schemes, or an array of colors which will be used as the color range.

The input plot must be a single view with a color encoding defined.

Options

  • :reverse (boolean/0) - If set to true the selected scheme is reversed. Ignored if a range is set. The default value is false.

Supported color schemes

All vega supported schemes are supported by Tucan.

Categorical Schemes

Categorical color schemes can be used to encode discrete data values, each representing a distinct category.

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Sequential color schemes can be used to encode quantitative values. These color ramps are designed to encode increasing numeric values.

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Sequential Multi-Hue Schemes

Sequential color schemes can be used to encode quantitative values. These color ramps are designed to encode increasing numeric values, but use additional hues for more color discrimination, which may be useful for visualizations such as heatmaps.

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Schemes for Dark Backgrounds

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Schemes for Light Backgrounds

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Diverging Schemes

Diverging color schemes can be used to encode quantitative values with a meaningful mid-point, such as zero or the average value. Color ramps with different hues diverge with increasing saturation to highlight the values below and above the mid-point.

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Cyclical Schemes

Cyclical color schemes may be used to highlight periodic patterns in continuous data. However, these schemes are not well suited to accurately convey value differences.

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Examples

Setting a specific color range

Tucan.scatter(:iris, "petal_width", "petal_length", color_by: "species")
|> Tucan.Scale.set_color_scheme(["yellow", "black", "#f234c1"])
{"$schema":"https://vega.github.io/schema/vega-lite/v5.json","data":{"url":"https://gist.githubusercontent.com/curran/a08a1080b88344b0c8a7/raw/0e7a9b0a5d22642a06d3d5b9bcbad9890c8ee534/iris.csv"},"encoding":{"color":{"field":"species","scale":{"range":["yellow","black","#f234c1"]},"type":"nominal"},"x":{"field":"petal_width","scale":{"zero":false},"type":"quantitative"},"y":{"field":"petal_length","scale":{"zero":false},"type":"quantitative"}},"mark":{"fillOpacity":1,"type":"point"}}

You can set any of the predefined color schemes to any plot with a color encoding.

Tucan.scatter(:weather, "date", "temp_max",
  x: [time_unit: :monthdate],
  y: [aggregate: :mean],
  color_by: "temp_max",
  color: [aggregate: :mean, type: :quantitative],
  width: 400
)
|> Tucan.Scale.set_color_scheme(:redyellowblue)
{"$schema":"https://vega.github.io/schema/vega-lite/v5.json","data":{"url":"https://vega.github.io/editor/data/weather.csv"},"encoding":{"color":{"aggregate":"mean","field":"temp_max","scale":{"reverse":false,"scheme":"redyellowblue"},"type":"quantitative"},"x":{"field":"date","scale":{"zero":false},"timeUnit":"monthdate","type":"quantitative"},"y":{"aggregate":"mean","field":"temp_max","scale":{"zero":false},"type":"quantitative"}},"mark":{"fillOpacity":1,"type":"point"},"width":400}

You can reverse it by setting the :reverse option:

Tucan.scatter(:weather, "date", "temp_max",
  x: [time_unit: :monthdate],
  y: [aggregate: :mean],
  color_by: "temp_max",
  color: [aggregate: :mean, type: :quantitative],
  width: 400
)
|> Tucan.Scale.set_color_scheme(:redyellowblue, reverse: true)
{"$schema":"https://vega.github.io/schema/vega-lite/v5.json","data":{"url":"https://vega.github.io/editor/data/weather.csv"},"encoding":{"color":{"aggregate":"mean","field":"temp_max","scale":{"reverse":true,"scheme":"redyellowblue"},"type":"quantitative"},"x":{"field":"date","scale":{"zero":false},"timeUnit":"monthdate","type":"quantitative"},"y":{"aggregate":"mean","field":"temp_max","scale":{"zero":false},"type":"quantitative"}},"mark":{"fillOpacity":1,"type":"point"},"width":400}
Link to this function

set_domain(vl, channel, domain)

View Source
@spec set_domain(vl :: VegaLite.t(), channel :: atom(), domain :: term()) ::
  VegaLite.t()

Sets the domain for the given encoding channel.

domain can be anything Vega-Lite supports and the validity of it depends on the type of the encoding's data.

Notice that no validation is performed.

Link to this function

set_scale(vl, channel, scale, opts \\ [])

View Source
@spec set_scale(
  vl :: VegaLite.t(),
  channel :: atom(),
  scale :: atom(),
  opts :: keyword()
) ::
  VegaLite.t()

Sets the scale for the given encoding channel.

Notice that only continuous scales are supported.

See also set_x_scale/3 and set_y_scale/3 wrappers for setting the scale directly on x and y axes.

Continuous Scales

Continuous scales map a continuous domain (numbers or dates) to a continuous output range (pixel locations, sizes, colors). Supported continuous scale types for quantitative fields are :linear, :log, :pow, :sqrt, and :symlog.

Meanwhile, supported continuous scale types for temporal fields are :time, :utc, and :symlog.

By default, :linear scales are used for quantitative fields and :time scales are used for temporal fields for all encoding channels.

Options

The supported options depend on the selected scale.

:pow scale

  • :exponent (number/0) - The exponent to be used, applicable only for :pow scale.

:log scale

  • :base (number/0) - The logarithm base of the :log scale. If not set defaults to 10.

:symlog scale

  • :constant (number/0) - A constant determining the slope of the symlog function around zero. If not set defaults to 1.

Examples

Applying log scale on x-axis.

Tucan.scatter(:gapminder, "income", "health", width: 400)
|> Tucan.Scale.set_scale(:x, :log)
{"$schema":"https://vega.github.io/schema/vega-lite/v5.json","data":{"url":"https://vega.github.io/vega-datasets/data/gapminder-health-income.csv"},"encoding":{"x":{"field":"income","scale":{"type":"log","zero":false},"type":"quantitative"},"y":{"field":"health","scale":{"zero":false},"type":"quantitative"}},"mark":{"fillOpacity":1,"type":"point"},"width":400}

Applying pow scale on x-axis with arbitrary exponent.

Tucan.scatter(:gapminder, "income", "health", width: 400)
|> Tucan.Scale.set_scale(:x, :pow, exponent: 0.2)
{"$schema":"https://vega.github.io/schema/vega-lite/v5.json","data":{"url":"https://vega.github.io/vega-datasets/data/gapminder-health-income.csv"},"encoding":{"x":{"field":"income","scale":{"exponent":0.2,"type":"pow","zero":false},"type":"quantitative"},"y":{"field":"health","scale":{"zero":false},"type":"quantitative"}},"mark":{"fillOpacity":1,"type":"point"},"width":400}
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set_x_domain(vl, min, max)

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@spec set_x_domain(vl :: VegaLite.t(), min :: number(), max :: number()) ::
  VegaLite.t()

Sets the x-axis domain.

This is a helper wrapper around set_domain/3 for setting the domain of continuous scales.

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set_x_scale(vl, scale, opts \\ [])

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@spec set_x_scale(vl :: VegaLite.t(), scale :: atom(), opts :: keyword()) ::
  VegaLite.t()

Sets the x axis scale.

Options

See set_scale/4.

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set_xy_domain(vl, min, max)

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@spec set_xy_domain(vl :: VegaLite.t(), min :: number(), max :: number()) ::
  VegaLite.t()

Sets the same [x, y] domain for x-axis and y-axis at once.

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set_y_domain(vl, min, max)

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@spec set_y_domain(vl :: VegaLite.t(), min :: number(), max :: number()) ::
  VegaLite.t()

Sets the y-axis domain.

This is a helper wrapper around set_domain/3 for setting the domain of continuous scales.

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set_y_scale(vl, scale, opts \\ [])

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@spec set_y_scale(vl :: VegaLite.t(), scale :: atom(), opts :: keyword()) ::
  VegaLite.t()

Sets the y axis scale.

Options

See set_scale/4.