plotmatrix

Scatter plot matrix

Syntax

plotmatrix(X,Y)

plotmatrix(X)

plotmatrix(___,LineSpec)

plotmatrix(ax,___)

[S,AX,BigAx,H,HAx] = plotmatrix(___)

Description

plotmatrix(X,Y) creates a matrix of subaxes containing scatter plots of the columns of X against the columns of Y. If X is p-by-n and Y is p-by-m, then plotmatrix produces an n-by-m matrix of subaxes.

plotmatrix(X) is the same as plotmatrix(X,X) except that the subaxes along the diagonal are replaced with histogram plots of the data in the corresponding column of X. For example, the subaxes along the diagonal in the ith column is replaced by histogram(X(:,i)).

plotmatrix(___,LineSpec) specifies the line style, marker symbol, and color for the scatter plots. The option LineSpec can be preceded by any of the input argument combinations in the previous syntaxes.

plotmatrix(ax,___) plots into the specified target axes, where the target axes is an invisible frame for the subaxes.

[S,AX,BigAx,H,HAx] = plotmatrix(___) returns the graphic objects created as follows:

• S – Chart line objects for the scatter plots

• AX – Axes objects for each subaxes

• BigAx – Axes object for big axes that frames the subaxes

• H – Histogram objects for the histogram plots

• HAx – Axes objects for the invisible histogram axes

BigAx is left as the current axes (gca) so that a subsequent title, xlabel, or ylabel command centers text with respect to the big axes.

Examples

Create Scatter Plot Matrix with Two Matrix Inputs

Create X as a matrix of random data and Y as a matrix of integer values. Then, create a scatter plot matrix of the columns of X against the columns of Y.

X = randn(50,3);
Y = reshape(1:150,50,3);  
plotmatrix(X,Y)

The subplot in the ith row, jth column of the figure is a scatter plot of the ith column of Y against the jth column of X.

Create Scatter Plot Matrix with One Matrix Input

Create a scatter plot matrix of random data. The subplot in the ith row, jth column of the matrix is a scatter plot of the ith column of X against the jth column of X. Along the diagonal are histogram plots of each column of X.

X = randn(50,3);  
plotmatrix(X)

Specify Marker Type and Color

Create a scatter plot matrix of random data. Specify the marker type and the color for the scatter plots.

X = randn(50,3);  
plotmatrix(X,'*r')

The LineSpec option sets properties for the scatter plots. To set properties for the histogram plots, return the histogram objects.

Modify Scatter Plot Matrix After Creation

Create a scatter plot matrix of random data.

rng default
X = randn(50,3);
[S,AX,BigAx,H,HAx] = plotmatrix(X);

To set properties for the scatter plots, use S. To set properties for the histograms, use H. To set axes properties, use AX, BigAx, and HAx. Use dot notation to set properties.

Set the color and marker type for the scatter plot in the lower left corner of the figure. Set the color for the histogram plot in the lower right corner. Use the title command to title the figure.

S(3).Color = 'g';
S(3).Marker = '*';  

H(3).EdgeColor = 'k';
H(3).FaceColor = 'g';  

title(BigAx,'A Comparison of Data Sets')

Input Arguments

X — Data to display

matrix

Data to display, specified as a matrix.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | logical

Y — Data to plot against X

matrix

Data to plot against X, specified as a matrix.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | logical

LineSpec — Line style, marker, and color

character vector | string

Line style, marker, and color, specified as a character vector or string containing symbols. The symbols can appear in any order. You do not need to specify all three characteristics (line style, marker, and color). For example, if you omit the line style and specify the marker, then the plot shows only the marker and no line.

Example: '--or' is a red dashed line with circle markers

Line Style	Description
-	Solid line
--	Dashed line
:	Dotted line
-.	Dash-dot line

Marker	Description
'o'	Circle
'+'	Plus sign
'*'	Asterisk
'.'	Point
'x'	Cross
'_'	Horizontal line
'|'	Vertical line
's'	Square
'd'	Diamond
'^'	Upward-pointing triangle
'v'	Downward-pointing triangle
'>'	Right-pointing triangle
'<'	Left-pointing triangle
'p'	Pentagram
'h'	Hexagram

Color	Description
y	yellow
m	magenta
c	cyan
r	red
g	green
b	blue
w	white
k	black

ax — Target axes

Axes object

Target axes that frames all the subaxes, specified as an Axes object. If you do not specify this argument, then plotmatrix uses the current axes.

Output Arguments

S — Chart line objects for scatter plots

matrix

Chart line objects for the scatter plots, returned as a matrix. These are unique identifiers, which you can use to query and modify the properties of a specific scatter plot.

AX — Axes objects for subaxes

matrix

Axes objects for the subaxes, returned as a matrix. These are unique identifiers, which you can use to query and modify the properties of a specific subaxes.

BigAx — Axes object for big axes

scalar

Axes object for big axes, returned as a scalar. This is a unique identifier, which you can use to query and modify properties of the big axes.

H — Histogram objects

vector | []

Histogram objects, returned as a vector or []. These are unique identifiers, which you can use to query and modify the properties of a specific histogram object. If no histogram plots are created, then H is returned as empty brackets.

Note

Starting in R2015b, H is a vector of histogram objects, In previous releases, it was a vector of patch objects.

HAx — Axes objects for invisible histogram axes

vector | []

Axes objects for invisible histogram axes, returned as a vector or []. These are unique identifiers, which you can use to query and modify the properties of a specific axes. If no histogram plots are created, then HAx is returned as empty brackets.

Extended Capabilities

GPU Arrays

Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.

Usage notes and limitations:

• This function accepts GPU arrays, but does not run on a GPU.

For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).

Distributed Arrays

Partition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™.

Usage notes and limitations:

• This function operates on distributed arrays, but executes in the client MATLAB^®.

For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).