How to apply individual color to each bar on a bar chart plot

The code is working perfect, but all the bars are showing blue color by default, I want each bar to have a diffrent color. The code is divided into two files: The function part and the normal code

The Function file

function plotResults(Cleveland_accuracy, Cleveland_sensitivity, Cleveland_specificity, Cleveland_precision, Cleveland_fScore, Cleveland_mcc, Public_Health_Dataset_accuracy, Public_Health_Dataset_sensitivity, Public_Health_Dataset_specificity, Public_Health_Dataset_precision, Public_Health_Dataset_fScore, Public_Health_Dataset_mcc, Jindong_accuracy, Jindong_sensitivity, Jindong_specificity)
    figure
    cats = categorical({'Cleveland Dataset','Public Health Dataset'});
    cats = reordercats(cats, {'Cleveland Dataset','Public Health Dataset'});
    results = [Cleveland_accuracy Cleveland_sensitivity Cleveland_specificity Cleveland_precision Cleveland_fScore Cleveland_mcc;...
        Public_Health_Dataset_accuracy Public_Health_Dataset_sensitivity Public_Health_Dataset_specificity Public_Health_Dataset_precision Public_Health_Dataset_fScore Public_Health_Dataset_mcc];
    bar(cats, results);
    ylabel('Metric Value (%)');
    legend('Accuracy', 'Sensitivity', 'Specificity', 'Precision', ...
           'F1-Score', 'Matthews correlation coefficient', 'Location', 'northoutside');
     
% Accuracy comparison for the three model
    figure
    cats = categorical({'Cleveland Model', 'Jindong et al Model','Public Health Model'});
    cats = reordercats(cats, {'Cleveland Model', 'Jindong et al Model','Public Health Model'});
    results = [Cleveland_accuracy ;...
        Jindong_accuracy;...
        Public_Health_Dataset_accuracy];
    bar(cats, results);
    ylabel('Accuracy Values (%)');
    legend('Accuracy', ...
        'Location', 'northoutside');

% Sensitivity comparison for the three model
    figure
    cats = categorical({'Cleveland Model', 'Jindong et al Model','Public Health Model'});
    cats = reordercats(cats, {'Cleveland Model', 'Jindong et al Model','Public Health Model'});
    results = [Cleveland_sensitivity ;...
        Jindong_sensitivity;...
        Public_Health_Dataset_sensitivity];
    bar(cats, results);
    ylabel('Sensitivity Values (%)');
    legend('Sensitivity', 'Location', 'northoutside');


% SPecificity comparison for the three model
    figure
    cats = categorical({'Cleveland Model', 'Jindong et al Model','Public Health Model'});
    cats = reordercats(cats, {'Cleveland Model', 'Jindong et al Model','Public Health Model'});
    results = [Cleveland_specificity ;...
        Jindong_specificity;...
        Public_Health_Dataset_specificity];
    
    bar(cats, results);
    
  
    ylabel('SPecificity Values (%)');
    legend('SPecificity', 'Location', 'northoutside');
    
end


%To call the fuction we have the following codenin a separate file

% Metric values for the main model
Cleveland_accuracy = 99;
Cleveland_sensitivity = 97;
Cleveland_specificity = 100;
Cleveland_precision = 100;
Cleveland_fScore = 98;
Cleveland_mcc = 79;

% Metrics values for Jindong Feng et al model 
Jindong_accuracy = 91.25;
Jindong_sensitivity = 91.54;
Jindong_specificity = 90.32;

% Metric values for the combined dataset model
Public_Health_Dataset_accuracy = 87;
Public_Health_Dataset_sensitivity = 77;
Public_Health_Dataset_specificity = 98;
Public_Health_Dataset_precision = 98;
Public_Health_Dataset_fScore = 86;
Public_Health_Dataset_mcc = 75;

% Call the plotResults function with metric values
plotResults(Cleveland_accuracy, Cleveland_sensitivity, Cleveland_specificity, ...
    Cleveland_precision, Cleveland_fScore, Cleveland_mcc,  Public_Health_Dataset_accuracy, Public_Health_Dataset_sensitivity, Public_Health_Dataset_specificity, Public_Health_Dataset_precision, Public_Health_Dataset_fScore, Public_Health_Dataset_mcc, Jindong_accuracy, Jindong_sensitivity, Jindong_specificity);

[Ahmad]

@Sam Chak

@Walter Roberson

Answer 1

[xingxingcui]

Example:

%To call the fuction we have the following codenin a separate file

% Metric values for the main model
Cleveland_accuracy = 99;
Cleveland_sensitivity = 97;
Cleveland_specificity = 100;
Cleveland_precision = 100;
Cleveland_fScore = 98;
Cleveland_mcc = 79;

% Metrics values for Jindong Feng et al model 
Jindong_accuracy = 91.25;
Jindong_sensitivity = 91.54;
Jindong_specificity = 90.32;

% Metric values for the combined dataset model
Public_Health_Dataset_accuracy = 87;
Public_Health_Dataset_sensitivity = 77;
Public_Health_Dataset_specificity = 98;
Public_Health_Dataset_precision = 98;
Public_Health_Dataset_fScore = 86;
Public_Health_Dataset_mcc = 75;

% Call the plotResults function with metric values
plotResults(Cleveland_accuracy, Cleveland_sensitivity, Cleveland_specificity, ...
    Cleveland_precision, Cleveland_fScore, Cleveland_mcc,  Public_Health_Dataset_accuracy, Public_Health_Dataset_sensitivity, Public_Health_Dataset_specificity, Public_Health_Dataset_precision, Public_Health_Dataset_fScore, Public_Health_Dataset_mcc, Jindong_accuracy, Jindong_sensitivity, Jindong_specificity);

function plotResults(Cleveland_accuracy, Cleveland_sensitivity, Cleveland_specificity, Cleveland_precision, Cleveland_fScore, Cleveland_mcc, Public_Health_Dataset_accuracy, Public_Health_Dataset_sensitivity, Public_Health_Dataset_specificity, Public_Health_Dataset_precision, Public_Health_Dataset_fScore, Public_Health_Dataset_mcc, Jindong_accuracy, Jindong_sensitivity, Jindong_specificity)
    figure
    cats = categorical({'Cleveland Dataset','Public Health Dataset'});
    cats = reordercats(cats, {'Cleveland Dataset','Public Health Dataset'});
    results = [Cleveland_accuracy Cleveland_sensitivity Cleveland_specificity Cleveland_precision Cleveland_fScore Cleveland_mcc;...
        Public_Health_Dataset_accuracy Public_Health_Dataset_sensitivity Public_Health_Dataset_specificity Public_Health_Dataset_precision Public_Health_Dataset_fScore Public_Health_Dataset_mcc];
    bar(cats, results);
    ylabel('Metric Value (%)');
    legend('Accuracy', 'Sensitivity', 'Specificity', 'Precision', ...
           'F1-Score', 'Matthews correlation coefficient', 'Location', 'northoutside');
     
% Accuracy comparison for the three model
    figure
    cats = categorical({'Cleveland Model', 'Jindong et al Model','Public Health Model'});
    cats = reordercats(cats, {'Cleveland Model', 'Jindong et al Model','Public Health Model'});
    results = [Cleveland_accuracy ;...
        Jindong_accuracy;...
        Public_Health_Dataset_accuracy];
   
    h =bar(cats, results);
    num = numel(results);
    colors = rand(num,3);
    h.FaceColor = "flat";
    
    % Custom color triad [r,g,b] for each bar, each row corresponds to each
    % bar color！
    h.CData = colors;
    ylabel('Accuracy Values (%)');
    legend('Accuracy', ...
        'Location', 'northoutside');

% Sensitivity comparison for the three model
    figure
    cats = categorical({'Cleveland Model', 'Jindong et al Model','Public Health Model'});
    cats = reordercats(cats, {'Cleveland Model', 'Jindong et al Model','Public Health Model'});
    results = [Cleveland_sensitivity ;...
        Jindong_sensitivity;...
        Public_Health_Dataset_sensitivity];
    h=bar(cats, results);
    num = numel(results);
    colors = rand(num,3);
    h.FaceColor = "flat";
    % Custom color triad [r,g,b] for each bar, each row corresponds to each
    % bar color！
    h.CData = colors;
    ylabel('Sensitivity Values (%)');
    legend('Sensitivity', 'Location', 'northoutside');


% SPecificity comparison for the three model
    figure
    cats = categorical({'Cleveland Model', 'Jindong et al Model','Public Health Model'});
    cats = reordercats(cats, {'Cleveland Model', 'Jindong et al Model','Public Health Model'});
    results = [Cleveland_specificity ;...
        Jindong_specificity;...
        Public_Health_Dataset_specificity];
    
    h=bar(cats, results);
    num = numel(results);
    % Custom color triad [r,g,b] for each bar, each row corresponds to each
    % bar color！
    colors = rand(num,3);
    h.FaceColor = "flat";
    h.CData = colors;
  
    ylabel('SPecificity Values (%)');
    legend('SPecificity', 'Location', 'northoutside');
    
end

[Ahmad]

Thank you @cui,xingxing and @the cyclist for your response.

[xingxingcui]

It's my pleasure to help you.

Answer 2

[the cyclist]

The documentation for the bar command has a section on how to control individual bar colors.