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Mathematica > Visualization and Graphics > Data Visualization > Function Visualization > Vector Visualization > StreamColorFunction >

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StreamColorFunction

StreamColorFunction
is an option for StreamPlot and related functions that specifies a function to apply to determine colors along streamlines.

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The setting for StreamColorFunction is applied at each point along each streamline to determine the color to use to render the streamline.

With the setting StreamColorFunction->func, the arguments supplied to func are as follows:

	VectorPlot,ListVectorPlot, StreamPlot,ListStreamPlot, LineIntegralConvolutionPlot, ListLineIntegralConvolutionPlot	x,y,,,Norm
	VectorDensityPlot, ListVectorDensityPlot,StreamDensityPlot, ListStreamDensityPlot	x,y,,,s
	VectorPlot3D,ListVectorPlot3D	x,y,z,,,,Norm

With the usual default setting StreamColorFunctionScaling->True, the arguments supplied to func are scaled to lie in the range 0 to 1.

With StreamColorFunctionScaling->False, original unscaled values are used.

StreamColorFunction is equivalent to StreamColorFunction where the slot used is as follows: StreamPlot, ListStreamPlot, etc.: (Norm), StreamDensityPlot, ListStreamDensityPlot etc.: (s), VectorPlot3D and ListVectorPlot3D: (Norm).

The list of possible color function names is given by ColorData.

The function specified by StreamColorFunction must return color directives such as RGBColor and Hue or named colors such as Red and Blue.

It can also return Opacity, as well as Glow and Specularity.

Combinations of directives can be specified using Directive.

Basic Examples (2)

Color streamlines according to the norm of the vector field:

Use any color gradient from ColorData:

Color streamlines according to the norm of the vector field:

Out[1]=

Use any color gradient from ColorData:

Out[1]=

StreamColorFunctionScaling VectorColorFunction ColorFunction MeshShading PlotStyle NormalsFunction Blend ColorData

Density and Contour Plots

Summary of New Features in 7.0

Vector Visualization

New in 7.0: Alphabetical Listing

New in 7

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