ParallelAxisPlot visualizes multidimensional data by placing each dimension on axes that are parallel to each other:

By default, each axis has its own plot range:

PlotRangeAutomatic shows every axis in the same range:

Plot multiple datasets:

Plot data of unequal lengths:

Coordinates with nonreal values are left out:

Get tabular data:

Plot parallel axis to see relations per row on the table:

Use Quantity to include units with the data:

Plot the values in TimeSeries:

Keys in Association are automatically used as axes labels:

Use wrappers on datasets or collections of datasets:

Wrappers can be nested:

Use PopupWindow to provide additional drilldown information:

Button can be used to trigger any action:

Use LabelingFunction to add individual labels to each dataset:

Use the index of datasets provided to LabelingFunction to construct labels:

Put labels before the lines:

Use Callout to add a label:

Use PlotLegends to add a bar legend to represent the colors from ColorFunction:

Use legends to identify the color groups:

Use Legended to add a legend:

Multiple datasets are automatically colored to be distinct:

Provide explicit styling to different curves:

Use a theme with high-contrast background and line style:

Include a legend:

By default,ParallelAxisPlot uses a fixed height to width ratio for the plot:

Make the height the same as the width with AspectRatio1:

AspectRatioAutomatic determines the ratio from the plot ranges:

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

By default axes are drawn:

Use AxesFalse to turn off axes:

Show the axes using rules:

Using pattern test:

Specify labels for axes:

AxesLabel uses units as labels automatically:

Apply styles to the axes:

Specify different styles for axes in a list:

Use rules:

Color the lines according to the values on the first axis:

Color lines by the fourth axis:

Color the lines by the scaled values based on the range of color function:

Color the lines by the unscaled values:

Use unique markers to identify different datasets:

Specify marker size:

Specify custom markers:

Specify a plot range for all of the axes:

Specify plot ranges for each axis: