ListDensityPlot

ListDensityPlot[{{f11,,f1n},,{fm1,,fmn}}]

generates a smooth density plot from an array of values fij.

ListDensityPlot[{{x1,y1,f1},,{xk,yk,fk}}]

generates a density plot with values fi defined at specified points {xi,yi}.

Details and Options

Examples

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Basic Examples  (4)

Use an array of values to define heights for a density:

Give explicit , , coordinates for points in a density:

A larger set of , , samples:

Use a multipanel layout to show multiple datasets at the same time:

Use different interpolations of data:

Scope  (15)

Data  (8)

For regular data consisting of values, the and data ranges are taken to be integer values:

Provide explicit and data ranges by using DataRange:

For irregular data consisting of triples, the and data ranges are inferred from data:

Areas around where the data is nonreal are excluded:

Use MaxPlotPoints to limit the number of points used:

PlotRange is selected automatically:

Use PlotRange to focus in on areas of interest:

Use RegionFunction to restrict the density to a region given by inequalities:

Presentation  (7)

Add labels:

Color the density by height:

Include a legend:

Provide overlay meshes:

Provide an interactive Tooltip for the density:

Use a theme with simple ticks and a legend in a bold color scheme:

Use a multipanel layout to show multiple datasets at the same time:

Use a column instead of a row:

Options  (94)

AspectRatio  (4)

By default, ListDensityPlot uses the same width and height:

Use a numerical value to specify the height to width ratio:

AspectRatioAutomatic determines the ratio from the plot ranges:

AspectRatioFull adjusts the height and width to tightly fit inside other constructs:

Axes  (4)

By default, ListDensityPlot uses a frame instead of axes:

Use axes instead of a frame:

Use AxesOrigin to specify where the axes intersect:

Turn each axis on individually:

AxesLabel  (4)

No axes labels are drawn by default:

Place a label on the axis:

Specify axes labels:

Use units as labels:

AxesOrigin  (2)

The position of the axes is determined automatically:

Specify an explicit origin for the axes:

AxesStyle  (4)

Change the style for the axes:

Specify the style of each axis:

Use different styles for the ticks and the axes:

Use different styles for the labels and the axes:

BoundaryStyle  (4)

No boundary is used by default:

Use a red boundary around the edges of the surface:

BoundaryStyle applies to holes cut by RegionFunction:

BoundaryStyle applies between Voronoi regions associated with the data:

ClippingStyle  (4)

Clipped regions are not shown by default:

Color clipped regions like the rest of the density:

Use pink to fill the clipped regions:

Use light red where the surface is clipped above and pink below:

ColorFunction  (5)

Color by scaled coordinate:

Specify gray-level intensity by scaled coordinate:

Named color gradients color in the direction:

Use brightness to correspond to the height or density of a function:

Use the interpolation between two colors to indicate the height or density of a function:

ColorFunctionScaling  (1)

Get the natural range of values by setting ColorFunctionScaling to False:

DataRange  (4)

Arrays of height values are displayed against the number of elements in each direction:

Rescale to the sampling space:

Triples are interpreted as , , coordinates:

Force interpretation as arrays of height values:

The dataset is normally interpreted as a list of triples:

ImageSize  (7)

Use named sizes such as Tiny, Small, Medium and Large:

Specify the width of the plot:

Specify the height of the plot:

Allow the width and height to be up to a certain size:

Specify the width and height for a graphic, padding with space if necessary:

Setting AspectRatioFull will fill the available space:

Use maximum sizes for the width and height:

Use ImageSizeFull to fill the available space in an object:

Specify the image size as a fraction of the available space:

InterpolationOrder  (5)

Densities are normally blended across polygons:

Use zero-order or piecewise constant interpolation:

Use third-order spline interpolation to fit the data:

Interpolation order 0 to 5:

For irregular data, zero-order interpolation gives Voronoi regions for each point:

MaxPlotPoints  (4)

ListDensityPlot normally uses all the points in the dataset:

Limit the number of points used in each direction:

MaxPlotPoints imposes a regular grid on irregular data:

The grid does not extend beyond the convex hull of the original data:

Mesh  (7)

No mesh is used by default:

Show the initial and final sampling mesh:

The entire mesh for irregular data is a Delaunay triangulation:

Use 5 mesh lines in each direction:

Use 3 mesh lines in the direction and 6 mesh lines in the direction:

Use mesh lines at specific values:

Use different styles for different mesh lines:

MeshFunctions  (3)

Use the value as the mesh function, giving a continuously colored contour plot:

Use mesh lines in the and directions:

Show where the real and imaginary parts of a function are constant over the complex plane:

MeshStyle  (3)

Mesh lines are partially transparent by default:

Use red mesh lines:

Use red mesh lines in the direction and dashed mesh lines in the direction:

PerformanceGoal  (2)

Generate a higher-quality plot:

Emphasize performance, possibly at the cost of quality:

PlotLayout  (3)

Place each density in a separate panel using shared axes:

Use a row instead of a column:

Use multiple columns or rows:

Prefer full columns or rows:

PlotLegends  (5)

No legend is used, by default:

Include a legend:

Legends automatically use the same colors as the density plot:

Use Placed to change legend placement:

Use BarLegend to customize the legend:

PlotRange  (2)

Automatically compute the range and clip extreme portions of it:

Use all points to compute the range:

PlotTheme  (2)

Use a theme with simple ticks and a legend in a bright color scheme:

Change the color scheme:

RegionFunction  (4)

Plot over a region in :

The region depends on DataRange:

Regions do not have to be connected:

Use any logical combination of conditions:

ScalingFunctions  (9)

By default, plots have linear scales in each direction:

Use a log scale in the direction:

Use a linear scale in the direction that shows smaller numbers at the top:

Use a reciprocal scale in the direction:

Use different scales in the and directions:

Reverse the axis without changing the axis:

Use a scale defined by a function and its inverse:

Positions in Ticks and GridLines are automatically scaled:

PlotRange is automatically scaled:

VertexColors  (2)

ListDensityPlot usually colors the density using a color function:

Specify random colors for each vertex:

Applications  (3)

Plot a probability density function of two variables:

Compare to the empirical density function:

Show the regions closest to a set of points:

Show ozone density around the world:

Use CountryData to add country outlines:

Properties & Relations  (16)

ListDensityPlot is similar to ListPlot3D viewed from above:

ListDensityPlot and ListPlot3D view as a function of and :

The data has only one value for each , pair:

The data has two values for each , pair:

Use ListDensityPlot3D to plot 3D data:

ListDensityPlot associates colors with the vertices of polygons:

Raster, ArrayPlot, MatrixPlot, and ReliefPlot associate colors with the whole polygon:

Use ArrayPlot for arrays of discrete data:

Use MatrixPlot for structural plots of matrices:

Use ReliefPlot for matrices corresponding to medical and geographic values:

Use DensityPlot for functions:

Smoothly shade a map using color with GeoDensityPlot:

Use ListPointPlot3D to show three-dimensional points:

ListDensityPlot produces smooth color variations:

Use ListContourPlot to get segmented colors:

Use ListPlot3D to create surfaces from continuous data:

Use ListLogPlot, ListLogLogPlot, and ListLogLinearPlot for logarithmic plots:

Use ListPolarPlot for polar plots:

Use DateListPlot to show data over time:

Use ParametricPlot3D for three-dimensional parametric curves and surfaces:

Possible Issues  (2)

The appearance may depend on the source of the data:

An ×3 matrix is by default interpreted as a list of triples:

Use DataRange->All to force interpretation as a matrix of values:

Or provide an explicit list of data ranges to force interpretation as a matrix of values:

Neat Examples  (1)

Wolfram Research (1988), ListDensityPlot, Wolfram Language function, https://reference.wolfram.com/language/ref/ListDensityPlot.html (updated 13).

Text

Wolfram Research (1988), ListDensityPlot, Wolfram Language function, https://reference.wolfram.com/language/ref/ListDensityPlot.html (updated 13).

CMS

Wolfram Language. 1988. "ListDensityPlot." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 13. https://reference.wolfram.com/language/ref/ListDensityPlot.html.

APA

Wolfram Language. (1988). ListDensityPlot. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/ListDensityPlot.html

BibTeX

@misc{reference.wolfram_2021_listdensityplot, author="Wolfram Research", title="{ListDensityPlot}", year="13", howpublished="\url{https://reference.wolfram.com/language/ref/ListDensityPlot.html}", note=[Accessed: 25-June-2022 ]}

BibLaTeX

@online{reference.wolfram_2021_listdensityplot, organization={Wolfram Research}, title={ListDensityPlot}, year={13}, url={https://reference.wolfram.com/language/ref/ListDensityPlot.html}, note=[Accessed: 25-June-2022 ]}