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:

Get tabular data:

Plot triples of data:

Plot multiple sets of data:

Include legends for the plot, using the column names:

Get tabular data:

Plot three columns as coordinate triples:

Use PivotToColumns to create columns of values for each species:

Use Quantity to include units with the data:

Plot data in a QuantityArray:

Specify the units used with TargetUnits:

Plot data with uncertainty:

Specify strings to use as labels:

Specify locations for labels:

Plot data in a SparseArray:

Use wrappers on individual data, datasets or collections of datasets:

Wrappers can be nested:

Use the value of each point as a tooltip:

Use a specific label for all the points:

Labels points with automatically positioned text:

Use PopupWindow to provide additional drilldown information:

Button can be used to trigger any action:

Label points with automatically positioned text:

Place the labels relative to the points:

Specify label names with LabelingFunction:

Include legends for each point collection:

Use Legended to provide a legend for a specific dataset:

Use Placed to change the legend location:

Specify the maximum size of labels:

Use the full label:

For dense sets of points, some labels may be turned into tooltips by default:

Increasing the size of the plot will show more labels:

Provide an explicit PlotStyle for the points:

Provide separate styles for different surfaces:

Add labels:

Color the surface by height:

Provide an interactive Tooltip for each point:

Provide an interactive Tooltip for the whole plot:

Fill below the points:

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

Use a highly styled theme:

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:

Interval markers are bars by default:

Use named IntervalMarkers:

Interval markers are black by default:

Specify the style for the bars:

Images in callouts and labels are resized automatically by default:

Use LabelingSize to change the display size of labels:

Textual labels are displayed at their full size:

Change the display size:

No legend is used by default:

Generate a legend using labels:

Generate a legend using placeholders:

Use Placed to specify legend placement:

Build a custom legend with BarLegend:

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:

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

Change color scheme:

Show the region being plotted:

Use None to not draw the region:

Use a custom RegionBoundaryStyle:

Plot over a region in :

The region depends on DataRange:

Regions do not have to be connected:

Use any logical combination of conditions:

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 different scales in the , and directions:

Use a scale defined by a function and its inverse: