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 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 lines to a region given by inequalities:

Get tabular data:

Plot separate curves for separate columns:

Get temperature data for a few years, split by city:

Plot the temperatures as separate curves over time:

Use Quantity to include units with the data:

Plot data in a QuantityArray :

Specify the units used with TargetUnits :

Plot data with uncertainty:

Plot data from time series with automatic date ticks:

Specify strings to use as labels:

Plot data in a SparseArray :

Use a wrapper to style a specific curve:

Apply a style to all the curves:

Use the value of each point as a tooltip:

Use a specific label for all the points:

Label 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:

Specify that labels should be above or below the curve:

Specify label names with LabelingFunction :

Include legends for each point collection:

Specify the maximum size of labels:

Use the full label:

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

Provide an explicit PlotStyle for the lines:

Provide separate styles for different sets:

Add labels:

Color lines by height:

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:

Use a logarithmic scale on the axis:

Specify scaling functions for each axis:

By default, axes are drawn:

Use Axes False to turn off axes:

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:

Automatic uses the natural scale from PlotRange :

Use BoxRatios to emphasize some particular feature, in this case, a saddle surface:

Use a named gradient from ColorData to color curves by their height:

Color curves by scaled values:

Color curves by scaled values:

Color curves by scaled values:

Colors from ColorFunction are used with the filled regions as well as the curve:

Colors from ColorFunction have higher priority than from PlotStyle :

Colors from ColorFunction combine with non-color styles from 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:

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 from above only:

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:

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:

Interval markers are bars by default:

Use named IntervalMarkers :

Interval markers are black by default:

Specify the style for the bars:

Datasets are joined by default:

Join the first dataset with a line, but use points for the second dataset:

Join the dataset with a line and show the original points:

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 :

ListLinePlot normally shows just the curves:

Include the data points in the plot:

Change the size of the default plot markers:

Use spheres as markers:

Specify how large the spheres should be:

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:

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

Change the color for the curves:

Show the region being plotted:

Use None to not draw the region:

Use a custom RegionBoundaryStyle :

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:

Ticks are placed automatically in each plot:

Use Ticks None to not draw any tick marks:

Place tick marks at specific positions:

Draw tick marks at the specified positions with the specified labels:

Specify tick marks with scaled lengths:

Customize each tick with position, length, labeling and styling:

By default, the ticks and tick labels use the same styles as the axis:

Specify the overall tick style, including the tick labels:

Specify the tick style for each of the axes:

Visualize a random walk in 3D:

View multiple random walks:

Visualize a random walk on a lattice:

View multiple random walks:

Make a random walk where successive steps change direction by between 0° and 20° in any Euler angle:

Plot multiple walks:

Show the steps used by an optimization method to arrive at a minimum:

Use StepMonitor to follow the progress of FindMinimum from different starting points:

Plot the sequences of steps on the actual surface:

Plot the performance of several companies as separate curves:

Find the position of the International Space Station for the next few hours:

Show the path around a simple model of the Earth: