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Wolfram Language & System Documentation Center
PairwiseScatterPlot
  • See Also
    • ListPlot
  • Related Guides
    • Statistical Plots Package
  • Tech Notes
    • Statistical Plots Package
    • See Also
      • ListPlot
    • Related Guides
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      • Statistical Plots Package

PairwiseScatterPlot[m]

creates a matrix of scatter plots comparing the data in each column of m against columns of m.

Details and Options
Details and Options Details and Options
Examples  
Basic Examples  
Options  
DataLabels  
DataRanges  
DataSpacing  
DataTicks  
PlotDirection  
Applications  
Neat Examples  
See Also
Tech Notes
Related Guides
Cite this Page
STATISTICAL PLOTS PACKAGE SYMBOL
  • See Also
    • ListPlot
  • Related Guides
    • Statistical Plots Package
  • Tech Notes
    • Statistical Plots Package
    • See Also
      • ListPlot
    • Related Guides
      • Statistical Plots Package
    • Tech Notes
      • Statistical Plots Package
StatisticalPlots`
StatisticalPlots`

PairwiseScatterPlot

PairwiseScatterPlot[m]

creates a matrix of scatter plots comparing the data in each column of m against columns of m.

Details and Options

  • To use PairwiseScatterPlot, you first need to load the Statistical Plots Package using Needs["StatisticalPlots`"].
  • PairwiseScatterPlot returns a matrix of plots of the i^(th) and j^(th) columns of m.
  • PairwiseScatterPlot has the same options as Graphics, with the following additions and changes:
  • DataLabels Nonelabels for the columns of m
    DataRanges Allrange limits on the data
    DataSpacing 0space to place between subplots
    DataTicks Nonetick specifications for the columns
    PlotDirection {Right, Down}direction in which scatter plots are generated
    PlotRangeAllrange limits on the subplots
    PlotStyleAutomaticstyles for the subplots
  • With the default setting of PlotDirection, the subplot located at the i^(th) row and j^(th) column takes y coordinates from column i of m and x coordinates from column j of m.

Examples

open all close all

Basic Examples  (1)

Wolfram Language code: Needs["StatisticalPlots`"]

Plot pairs of columns from trivariate data:

Wolfram Language code: PairwiseScatterPlot[Table[{x, Sin[x], Cos[x]}, {x, 0, 2 Pi, 0.1}], DataTicks -> True]

Options  (7)

DataLabels  (2)

Wolfram Language code: Needs["StatisticalPlots`"]

Use matrix column numbers as labels:

Wolfram Language code: PairwiseScatterPlot[{{5, 10}, {9, 6}, {10, 8}, {4, 1}, {6, 3}}, DataLabels -> Automatic]
Wolfram Language code: Needs["StatisticalPlots`"]

Give explicit labels:

Wolfram Language code: PairwiseScatterPlot[{{5, 10}, {9, 6}, {10, 8}, {4, 1}, {6, 3}}, DataLabels -> {"x", "y"}]

DataRanges  (1)

Wolfram Language code: Needs["StatisticalPlots`"]

Limit the range of data values:

Wolfram Language code: PairwiseScatterPlot[{{5, 10}, {9, 6}, {10, 8}, {4, 1}, {6, 3}}, DataRanges -> {{5, 10}, {2, 8}}, DataTicks -> Automatic]

DataSpacing  (1)

Wolfram Language code: Needs["StatisticalPlots`"]

Include nonzero spacing between plots:

Wolfram Language code: PairwiseScatterPlot[{{5, 10}, {9, 6}, {10, 8}, {4, 1}, {6, 3}}, DataSpacing -> .1]

DataTicks  (2)

Wolfram Language code: Needs["StatisticalPlots`"]

Use automatically generated ticks:

Wolfram Language code: PairwiseScatterPlot[{{5, 10}, {9, 6}, {10, 8}, {4, 1}, {6, 3}}, DataTicks -> Automatic]
Wolfram Language code: Needs["StatisticalPlots`"]

Define explicit tick positions:

Wolfram Language code: PairwiseScatterPlot[{{5, 10}, {9, 6}, {10, 8}, {4, 1}, {6, 3}}, DataTicks -> {{4, 6, 8}, {5, 10}}]

PlotDirection  (1)

Wolfram Language code: Needs["StatisticalPlots`"]

Plot with x indices increasing toward the right and y indices increasing upward:

Wolfram Language code: PairwiseScatterPlot[{{5, 10}, {9, 6}, {10, 8}, {4, 1}, {6, 3}}, PlotDirection -> {Right, Up}]

Applications  (1)

Wolfram Language code: Needs["StatisticalPlots`"]
Wolfram Language code: Needs["MultivariateStatistics`"]

Visualize the covariance matrix for some multivariate data:

Wolfram Language code: data = RandomReal[ MultinormalDistribution[{0, 0, 0}, {{1, 1/2, -2/3}, {1/2, 3, 2}, {-2/3, 2, 4}}], 100];
Wolfram Language code: PairwiseScatterPlot[data]

Neat Examples  (1)

Wolfram Language code: Needs["StatisticalPlots`"]

Overlap pairwise plots:

Wolfram Language code: PairwiseScatterPlot[Table[{x, Sin[x], Cos[x]}, {x, 0, 2 Pi, 0.1}], DataSpacing -> {-1, -1}]

See Also

QuantilePlot  ListPlot

Tech Notes

    ▪
  • Statistical Plots Package

Related Guides

    ▪
  • Statistical Plots Package
Wolfram Research (2007), PairwiseScatterPlot, Wolfram Language function, https://reference.wolfram.com/language/StatisticalPlots/ref/PairwiseScatterPlot.html.

Text

Wolfram Research (2007), PairwiseScatterPlot, Wolfram Language function, https://reference.wolfram.com/language/StatisticalPlots/ref/PairwiseScatterPlot.html.

CMS

Wolfram Language. 2007. "PairwiseScatterPlot." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/StatisticalPlots/ref/PairwiseScatterPlot.html.

APA

Wolfram Language. (2007). PairwiseScatterPlot. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/StatisticalPlots/ref/PairwiseScatterPlot.html

BibTeX

@misc{reference.wolfram_2026_pairwisescatterplot, author="Wolfram Research", title="{PairwiseScatterPlot}", year="2007", howpublished="\url{https://reference.wolfram.com/language/StatisticalPlots/ref/PairwiseScatterPlot.html}", note=[Accessed: 01-May-2026]}

BibLaTeX

@online{reference.wolfram_2026_pairwisescatterplot, organization={Wolfram Research}, title={PairwiseScatterPlot}, year={2007}, url={https://reference.wolfram.com/language/StatisticalPlots/ref/PairwiseScatterPlot.html}, note=[Accessed: 01-May-2026]}

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