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:

Get tabular data:

Plot a shaded contour plot of column f over columns x and y:

Plot multiple sets of columns, arranging the plots in a row:

Include color bar legends for the plot:

Add labels:

Color the density by height:

Include a legend:

Label the contours:

Use specific colors between contours:

Use different styles for the contours:

Use a theme with simple ticks and a legend:

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

Use a column instead of a row:

By default, ListContourPlot uses the same width and height:

Use numerical value to specify the height to width ratio:

AspectRatioAutomatic determines the ratio from the plot ranges:

AspectRatioFull adjusts the height and width to tightly fit inside other constructs:

By default, ListContourPlot 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:

No axes labels are drawn by default:

Place a label on the axis:

Specify axes labels:

Use units as labels:

The position of the axes is determined automatically:

Specify an explicit origin for the axes:

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:

No boundary is used by default:

Use a red boundary around the edges of the contours:

BoundaryStyle applies to holes cut by RegionFunction:

BoundaryStyle applies where there are jumps in the surface:

Clipped regions are not shown by default:

Color clipped regions like the rest of the surface:

Use pink to fill the clipped regions:

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

Color by scaled coordinate:

Named color gradients color in the direction:

Color with blue if contour values are negative, and with red otherwise:

Add labels to contour lines:

Label with values in a frame:

Use 7 equally spaced contours:

Use automatic contour selection:

Use at most 5 automatically selected contours:

Use specific contours:

Use specific contours with specific styles:

Use a function to generate a set of contours:

Have contours at the 10% and 90% percentile values:

The automatic shading is darker at low values and lighter at high values:

Use None to only show the contour lines:

Shade between contours using a color function:

Use an explicit list of colors between contours:

The default contour style is a partially transparent line:

Use opaque contour lines:

Use None to not show contour lines:

Alternate between red and dashed contour lines:

Use dashed red contour lines:

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

Rescale to the sampling space:

Triples are interpreted as , , coordinates:

Generate an array of triples:

Force interpretation as an array of height values:

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 AspectRatioFull will fill the available space:

Use maximum sizes for the width and height:

Use ImageSizeFull to fill the available space in an object:

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

Contours are normally based on a linear interpolation of the data:

Use zero-order or piecewise constant interpolation:

Use third-order spline interpolation to fit the data:

Interpolation order 0 to 5:

With a limited number of points, irregular data is linearly interpolated:

Irregular data with InterpolationOrder->1 uses natural neighbor interpolation:

ListContourPlot normally uses all of 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:

Show the initial and final sampling mesh:

Use 5 mesh levels in each direction:

Use mesh lines in the and directions:

Use mesh levels corresponding to real and imaginary parts of a complex-valued function:

Use red mesh lines:

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

Generate a higher-quality plot:

Emphasize performance, possibly at the cost of quality:

Place each contour in a separate panel using shared axes:

Use a row instead of a column:

Use multiple columns or rows:

Prefer full columns or rows:

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:

Legends automatically select contours to label:

Label all of the contours:

Automatically compute the range:

Use all points to compute the range:

Use an explicit range to emphasize features:

Use a monochrome theme:

Change the tone:

Add a legend and change the contour style:

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 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: