This is documentation for Mathematica 8, which was
based on an earlier version of the Wolfram Language.

# ListPointPlot3D

 ListPointPlot3Dgenerates a 3D scatter plot of points with coordinates . ListPointPlot3D[array]generates a 3D scatter plot of points with a 2D array of height values. ListPointPlot3Dplots several collections of points, by default in different colors.
 Axes True whether to draw axes BoxRatios {1,1,0.4} bounding 3D box ratios ColorFunction Automatic how to determine the color of points ColorFunctionScaling True whether to scale arguments to ColorFunction DataRange Automatic the range of x and y values to assume for data Filling None how to fill in stems for each point FillingStyle Automatic style to use for filling PlotRange {Full,Full,Automatic} the range of z or other values to include PlotRangePadding Automatic how much to pad the range of values PlotStyle Automatic graphics directives to specify the styles of points RegionFunction (True&) how to determine whether a point should be included
• ListPointPlot3D by default uses different colors to indicate points from different lists.
• The option setting Filling show stems for all points.
• ListPointPlot3D[array] by default takes the x and y coordinate values for each data point to be successive integers starting at 1.
• The elements of array can also be triples , specifying heights at explicit positions .
• In the default case with no explicit x and y given, the setting DataRange specifies the ranges of coordinate values to use.
• With the default setting DataRange, ListPointPlot3D will assume that the data being given is , rather than an ×3 array of height values.
Show a scatter plot from an array of height values:
Use irregularly spaced data:
Fill below the points:
Show multiple sets of points:
Color the points by height:
Show a scatter plot from an array of height values:
 Out[1]=

Use irregularly spaced data:
 Out[2]=

Fill below the points:
 Out[1]=

Show multiple sets of points:
 Out[1]=

Color the points by height:
 Out[1]=
 Scope   (14)
For regular data consisting of values, the and data ranges are taken to be integer values:
Provide explicit and data ranges by using DataRange:
Plot multiple sets of regular data:
For irregular data consisting of triples, the and data ranges are inferred from the data:
Plot multiple sets of irregular data:
Areas around where the data is nonreal are excluded:
PlotRange is selected automatically:
Use PlotRange to focus in on areas of interest:
Use RegionFunction to restrict the surface to a region given by inequalities:
Provide an explicit PlotStyle for the points:
Provide separate styles for different surfaces:
Color the surface by height:
Provide an interactive Tooltip for each point:
Provide an interactive Tooltip for the whole plot:
Fill below the points:
 Options   (26)
Color by scaled , , and values:
Color by scaled and coordinates:
Use ColorData for predefined color gradients:
Named color gradients color in the direction:
ColorFunction has higher priority than PlotStyle:
Use unscaled coordinates:
Unscaled coordinates are dependent on DataRange:
Arrays of height values are displayed against the number of elements in each direction:
Rescale to the sampling space:
Each dataset is scaled to the same domain:
Triples are interpreted as , , coordinates:
Force interpretation as arrays of height values:
The dataset is normally interpreted as a list of , , triples:
Fill to the bottom, using "stems":
Filling occurs along the region cut by the RegionFunction:
Fill surface 1 to the bottom with blue and surface 2 to the top with red:
Fill to the bottom with a variety of styles:
Fill to the plane with orange below and blue above:
Fill to the plane from above only:
Automatically compute the range:
Use all points to compute the range:
Use an explicit range to emphasize features:
Plot two point sets with different styles:
Different point sizes:
Plot over a region in :
The region depends on DataRange:
Regions do not have to be connected:
Use any logical combination of conditions:
 Applications   (1)
Sampling points for a three-dimensional integration: