ColorFunctionBinning

is an option for plotting functions that divides values into a limited set of bins for styling.

Details

	None	continuous range of values
	Automatic	automatically determined bins
	n	approximately n equally spaced divisions
	"KMeans"	use the k-means clustering algorithm to find the bins
	"Quantile"	use quantiles to compute the bins
	{d}	use bins with width d
	{min,max,d}	use bins from min to max with width d
	{{b₁,b₂,…}}	use specific break points b_i to separate the bins
	{"name",n}	find n divisions using the named method
	f	use f[{v₁,v₂,…}] to determine the bins

With binned color functions, the color function is sampled evenly based on the number of bins, not on their values.

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Use None to use a continuous range of colors:

Use colors corresponding to equal-width bins:

Specify how large the bins should be:

Use the k-means algorithm to find clusters of values:

Specify how many clusters to find:

Using "Quantile" will put approximately the same number of regions in each bin:

Some of the regions are small and may not be visible:

Color the regions according to what quartile they are in:

Specify the bin boundaries:

Use colors corresponding to equal-width bins:

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