Package com.github.gwtd3.api.scales

Class Summary

Class	Description
ContinuousQuantitativeScale<S extends ContinuousQuantitativeScale<S>>	QuantitativeScale with a continuous range: LinearScale have a linear interpolator LogScale have apply a log function to the domain PowScale IdentityScale TimeScale are linear scale for timestamp
DiscreteQuantitativeScale<S extends DiscreteQuantitativeScale<S>>	QuantitativeScale with a discrete output range.
IdentityScale	Identity scales are a special case of linear scales where the domain and range are identical; the Scale.apply(double) and its ContinuousQuantitativeScale.invert(double) method are both the identity function.
LinearScale	Linear scales are the most common scale, and a good default choice to map a continuous input domain to a continuous output range.
LogScale	Log scales are similar to linear scales, except there's a logarithmic transform that is applied to the input domain value before the output range value is computed.
OrdinalScale	Ordinal Scales have a discrete domain, such as a set of names or categories, and a discrete output range.
PowScale	Power scales are similar to linear scales, except there's an exponential transform that is applied to the input domain value before the output range value is computed.
QuantileScale	Quantile scales map an input domain to a discrete range.
QuantitativeScale<S extends QuantitativeScale<S>>	Quantitative scales have a continuous domain: ContinuousQuantitativeScale have a continuous output range DiscreteQuantitativeScale have a discrete output range
QuantizeScale	Quantize scales are a variant of linear scales with a discrete rather than continuous range.
Scale<S extends Scale<S>>	Scales are functions that map from an input domain to an output range.
ThresholdScale	Threshold scales are similar to quantize scales, except they allow you to map arbitrary subsets of the domain to discrete values in the range.