# ListStepPlot

ListStepPlot[{y1,y2,}]

plots the values y1, y2, in steps at points 1, 2, .

ListStepPlot[{{x1,y1},{x2,y2},}]

plots the values y1, y2, in steps at points x1, x2, .

ListStepPlot[{data1,data2,}]

plots data from all the datai.

ListStepPlot[data,step]

plots using steps specified by step.

ListStepPlot[{,w[datai,],}]

plots datai with features defined by the symbolic wrapper w.

# Details and Options

• ListStepPlot plots the data so that each point, including the first and last, is part of a horizontal step.
• The following step specifications can be given:
•  Right step extends to the right Left step extends to the left Center step extends to the centers between neighboring points
• Data values xi and yi can be given in the following forms:
•  xi a real-valued number Quantity[xi,unit] a quantity with a unit Around[xi,ei] values xi with uncertainty ei Interval[{xmin, xmax}] values between xmin and xmax
• Values xi and yi that are not of the form above are taken to be missing and give gaps in the curve.
• The datai have the following forms and interpretations:
•  <|"k1"y1,"k2"y2,…|> values {y1,y2,…} <|x1y1,x2y2,…|> key-value pairs {{x1,y1},{x2,y2},…} SparseArray values as a normal array TimeSeries, EventSeries time-value pairs QuantityArray magnitudes WeightedData unweighted values
• The following wrappers w can be used for the datai:
•  Annotation[datai,label] provide an annotation for the data Button[datai,action] define an action to execute when the data is clicked EventHandler[datai,…] define a general event handler for the data Hyperlink[datai,uri] make the data act as a hyperlink Legended[datai,…] identify the data in a legend PopupWindow[datai,cont] attach a popup window to the data StatusArea[datai,label] display in the status area on mouseover Style[datai,opts] show the data using the specified styles Tooltip[datai,label] attach an arbitrary tooltip to the curve
• ListStepPlot takes the same options as Graphics, with the following additions and changes:
•  AspectRatio 1/GoldenRatio ratio of height to width Axes True whether to draw axes ClippingStyle None what to draw when lines are clipped ColorFunction Automatic how to determine the coloring of lines ColorFunctionScaling True whether to scale arguments to ColorFunction DataRange Automatic the range of x values to assume for data Filling None filling under each line FillingStyle Automatic style to use for filling IntervalMarkers Automatic how to render uncertainty IntervalMarkersStyle Automatic style for uncertainty elements LabelingSize Automatic maximum size of callouts and labels Joined True whether to join horizontal segments Mesh None how many mesh points to draw on each line MeshFunctions {#1&} how to determine the placement of mesh points MeshShading None how to shade regions between mesh points MeshStyle Automatic the style for mesh points Method Automatic the method to use PerformanceGoal \$PerformanceGoal aspects of performance to try to optimize PlotLabel None overall label for the plot PlotLabels None labels for data PlotLayout "Overlaid" how to position data PlotLegends None legends for datasets PlotMarkers None markers to use to indicate each point PlotRange Automatic range of values to include PlotRangeClipping True whether to clip at the plot range PlotStyle Automatic graphics directives to determine the style of each line PlotTheme \$PlotTheme overall theme for the plot ScalingFunctions None how to scale individual coordinates TargetUnits Automatic units to display in the plot
• Possible settings for PlotLayout that show multiple curves in a single plot panel include:
•  "Overlaid" show all the data overlapping "Stacked" accumulate the data "Percentile" accumulate and normalize the data
• The setting DataRange->{xmin,xmax} specifies other ranges of x coordinates to use, with xmax being associated with the last element in the longest of the datai.
• With the default setting , the steps are joined using vertical line segments. Use to draw only the steps.
• Use Mesh->Full to draw the points in addition to the steps.
• ScalingFunctions apply to the values xi and yi.

# Examples

open allclose all

## Basic Examples(5)

Create a plot that stays level until the next point:

Draw the points in the middle of the steps:

Specify and coordinates:

Plot multiple curves with a legend:

Plot curves without the vertical segments:

## Scope(41)

### General Data(7)

Steps are drawn through the data points:

Use , pairs:

Show multiple sets of data:

Ranges where the data is nonreal are excluded:

Specify what values the data ranges over:

Use PlotRange to focus in on areas of interest:

Use ScalingFunctions to scale the axes:

### Special Data(6)

Use Quantity to include units with the data:

Include different units for the and coordinates:

Plot data in a QuantityArray:

Specify the units used with TargetUnits:

Numeric values in an Association are used as the coordinates:

Numeric keys and values in an Association are used as the and coordinates:

Plot TimeSeries directly:

Plot data in a SparseArray:

The weights in WeightedData are ignored:

### Data Wrappers(8)

Use wrappers on 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:

Use PopupWindow to provide additional drilldown information:

Button can be used to trigger any action:

Use Annotation for dynamic action when the mouse enters the plot:

Use StatusArea to display a string in the status area of the current notebook:

### Labeling and Legending(10)

Label data with Labeled:

Label data with PlotLabels:

Place the label near the points at an value:

Use a scaled position:

Specify the text position relative to the point:

Label points with automatically positioned text:

Place the labels relative to the points:

Specify the maximum size of labels:

Use the full label:

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

Include legends for each curve:

Use Legended to provide a legend for a specific dataset:

Use Placed to change the legend location:

Use association keys as labels:

### Presentation(10)

Multiple curves are automatically colored to be distinct:

Provide explicit styling to different curves:

Include legends for each curve:

Use Legended to provide a legend for a specific dataset:

Provide an interactive Tooltip for the data:

Create filled plots:

Use shapes to distinguish different datasets:

Use a theme with a dark background and vibrant colors:

Plot the data in a stacked layout:

## Options(74)

### ClippingStyle(3)

Omit clipped regions of the plot:

Show clipped regions as red at the bottom and the top:

Show clipped regions as red at the bottom and dashed at the top:

### ColorFunction(4)

Color with a named color scheme:

Color by scaled and coordinates:

Fill with the color used for the curve:

ColorFunction has higher priority than PlotStyle for coloring the curve:

### ColorFunctionScaling(2)

Color the line based on scaled value:

Color the line based on unscaled value:

### DataRange(5)

Lists of height values are displayed against the number of elements:

Rescale to the sampling space:

DataRange refers to the points, not the steps:

Specifying DataRange in this case has no effect, since values are part of the data:

By default, pairs of numbers are interpreted as and coordinates:

Force interpretation as multiple datasets:

### Filling(4)

Explicitly specify the filling style for different plots:

Fills that overlap combine using opacity by default:

Fill from the second curve to the first:

Fill the region between two curves with light gray:

### FillingStyle(3)

Use red color fill:

Fill with red below the axis and with blue above:

Fill with opacity 0.5 orange:

Use a variable filling style obtained from ColorFunction:

### Frame(1)

Draw a frame around a plot:

### FrameLabel(2)

Place labels on the left edge of the frame:

Place labels on the bottom and left frame edges:

### GridLines(2)

Put grids across a plot:

Draw grid lines at the specific positions:

### GridLinesStyle(1)

Use dotted grid lines:

### Joined(2)

By default, the horizontal steps are joined by vertical segments:

Use to create a plot without the vertical segments:

### LabelingSize(4)

Textual labels are shown at their actual sizes:

Image labels are automatically resized:

Specify a maximum size for textual labels:

Specify a maximum size for image labels:

Show image labels at their natural sizes:

### Mesh(4)

Use Mesh->Full to show the point for each step:

Use different mesh specifications:

Use an explicit list of values for the mesh in the direction:

Specify style and mesh levels in the direction:

### MeshFunctions(1)

Show full mesh levels in the direction (red) and full mesh levels in the direction (blue):

Alternate red and blue segments of equal width in the direction:

MeshShading can be used with PlotStyle:

### MeshStyle(1)

Use different mesh directives:

### PlotLabel(1)

Add an overall label to the plot:

### PlotLabels(4)

Specify text to label sets of points:

Place the labels above the points:

Use the keys from an Association as labels:

Use None to not add a label:

### PlotLayout(1)

By default, curves are overlaid on each other:

Plot the data in a stacked layout:

Plot the data as percentiles of the total of the values:

### PlotLegends(3)

Generate a legend using labels:

Legends use the same styles as the plot:

Place the legend inside the plot:

### PlotMarkers(3)

Use to show the point for each step:

Automatically use colors and shapes to distinguish sets of data:

Use the same symbol for all the sets of data:

### PlotRange(3)

PlotRange is automatically calculated:

Show the whole dataset:

Choose the range to show:

Include 5 coordinate units of padding on each side:

### PlotStyle(3)

Use different plot style directives:

By default, different styles are chosen for multiple plots:

Explicitly specify the style for different plots:

### PlotTheme(3)

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

Change the color scheme:

Use a theme with minimal styling:

### Prolog(1)

Draw an image behind the plot:

### ScalingFunctions(9)

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 and AxesOrigin are automatically scaled:

## Applications(5)

Plot a digital signal:

Visualize the score in a soccer game:

Show the Fourier series approximation of a square wave:

Visualize the number of items in an inventory during a week:

Plot the atomic radius of the elements:

Wolfram Research (2015), ListStepPlot, Wolfram Language function, https://reference.wolfram.com/language/ref/ListStepPlot.html (updated 2019).

#### Text

Wolfram Research (2015), ListStepPlot, Wolfram Language function, https://reference.wolfram.com/language/ref/ListStepPlot.html (updated 2019).

#### CMS

Wolfram Language. 2015. "ListStepPlot." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2019. https://reference.wolfram.com/language/ref/ListStepPlot.html.

#### APA

Wolfram Language. (2015). ListStepPlot. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/ListStepPlot.html

#### BibTeX

@misc{reference.wolfram_2022_liststepplot, author="Wolfram Research", title="{ListStepPlot}", year="2019", howpublished="\url{https://reference.wolfram.com/language/ref/ListStepPlot.html}", note=[Accessed: 29-June-2022 ]}

#### BibLaTeX

@online{reference.wolfram_2022_liststepplot, organization={Wolfram Research}, title={ListStepPlot}, year={2019}, url={https://reference.wolfram.com/language/ref/ListStepPlot.html}, note=[Accessed: 29-June-2022 ]}