matlab.graphics.chartcontainer.ChartContainer.getTheme - Get figure theme of chart container subclass - MATLAB (original) (raw)

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Class: matlab.graphics.chartcontainer.ChartContainer
Namespace: matlab.graphics.chartcontainer

Get figure theme of chart container subclass

Since R2025a

Syntax

Description

[gt](#mw%5F5968f44b-79de-4172-a900-315d337bdc55) = getTheme([obj](#mw%5F4c6b28af-4710-4d64-8be4-2c3ed8934040)) returns the GraphicsTheme object for the parent figure of the specifiedChartContainer object. To determine the theme of the figure, query theBaseColorStyle property of gt.

The update method of the chart container executes when the figure theme changes, so you can call this method from within the update method of your subclass to respond to changes in the figure theme.

example

Input Arguments

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Chart container, specified as an object of the class that inherits from thematlab.graphics.chartcontainer.ChartContainer base class.

Output Arguments

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Graphics theme information, returned as a GraphicsTheme object that has the properties in this table.

Examples

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Define a class named ThemedSmoothPlot that plots a set of data using a faint line as well as a smoothed version of the same data using a bolder line.

To define the class, create a file named ThemedSmoothPlot.m that contains the following class definition with these features:

• XData and YData public properties that store the _x_- and _y_-coordinate data for the original line
• SmoothWidth public property that controls the width of the smooth line
• OriginalLine and SmoothLine private properties that store the Line objects for the original and smoothed data
• A setup method that initializes OriginalLine and SmoothLine
• An update method that updates the plot when the user changes the value of a property
• A createSmoothData method that calculates a smoothed version of YData
• An updateColor method that selects plot colors based on the theme of the figure

classdef ThemedSmoothPlot < matlab.graphics.chartcontainer.ChartContainer properties XData (1,:) double = NaN YData (1,:) double = NaN SmoothWidth (1,1) double = 2 end properties(Access = private,Transient,NonCopyable) OriginalLine (1,1) matlab.graphics.chart.primitive.Line SmoothLine (1,1) matlab.graphics.chart.primitive.Line end

methods(Access = protected)
    function setup(obj)
        % Create the axes
        ax = getAxes(obj);

        % Create the original and smooth lines
        obj.OriginalLine = plot(ax,NaN,NaN);
        hold(ax,"on")
        obj.SmoothLine = plot(ax,NaN,NaN);
        hold(ax,"off")
    end
    function update(obj)
        % Update line data
        obj.OriginalLine.XData = obj.XData;
        obj.OriginalLine.YData = obj.YData;
        obj.SmoothLine.XData = obj.XData;
        obj.SmoothLine.YData = createSmoothData(obj);

        % Update line colors and smooth line width
        updateColor(obj);
        obj.SmoothLine.LineWidth = obj.SmoothWidth;
    end

    function sm = createSmoothData(obj)
        % Calculate smoothed data
        v = ones(1,10)*0.1;
        sm = conv(obj.YData,v,"same");
    end

    function updateColor(obj)
        OriginalLineColor = [0.6 0.7 1]; 
        SmoothLineColor = [0.3 0.4 0.7];
        thm = getTheme(obj);
        switch thm.BaseColorStyle
            case "light"
                % Use OriginalLineColor and SmoothLineColor
                obj.OriginalLine.Color = OriginalLineColor;
                obj.SmoothLine.Color = SmoothLineColor;
            case "dark"
                % Flip OriginalLineColor and SmoothLineColor
                obj.OriginalLine.Color = fliplightness(OriginalLineColor);
                obj.SmoothLine.Color = fliplightness(SmoothLineColor);
        end
    end
end

end

Create a light-themed figure. Then plot pair of x and y vectors by calling the ThemedSmoothPlot constructor method and specifying the XData and YData name-value arguments.

f = figure(Theme="light"); f.Position(3:4) = [695 420]; x = 1:1:100; y = 10sin(x./5) + 8sin(10.*x + 0.5); ThemedSmoothPlot(XData=x,YData=y);

Change the theme of the figure to "dark". The line colors update in response.

Version History

Introduced in R2025a