Updating the histogram in a correlation matrix after creating the matrix plot

I have this code which makes a correlation matrix. I want to create the matrix plot as below and later I want to update the histogram with different sets. Any idea please?

% your example code

Fields      = [1, 4, 5]; 
Fields_time = Fields +16;
MT_All      = rand(100,26);

% MT_All = rand(100,9);
VariableNames={'sigma','sigma','sigma','tau','tau','tau','mNPV'}; % changed to ensure valid syntax


Mat_All_1_4_5 = [MT_All(:,Fields), MT_All(:,Fields_time), MT_All(:,end-1)]; 
figure
c = corrplot(Mat_All_1_4_5, 'varNames', VariableNames);
% get current figure handle
fh = gcf;
% find x and y label strings that are not empty within subplots
yLabelN = find(cell2mat(arrayfun(@(dIn)~isempty(dIn.YLabel.String),fh.Children,'UniformOutput',false)));
xLabelN = find(cell2mat(arrayfun(@(dIn)~isempty(dIn.XLabel.String),fh.Children,'UniformOutput',false)));
% rename y labels

for ik = 1:length(yLabelN)
    
    if ik <= 3
        fh.Children(yLabelN(ik)).YLabel.String = sprintf('\\sigma_{%d}',Fields(ik));
        fh.Children(xLabelN(ik)).XLabel.String = sprintf('\\sigma_{%d}',Fields(ik));
    elseif ik <=6
        fh.Children(yLabelN(ik)).YLabel.String = sprintf('\\tau_{%d}',Fields(ik-3));
        fh.Children(xLabelN(ik)).XLabel.String = sprintf('\\tau_{%d}',Fields(ik-3));
    else
        fh.Children(yLabelN(ik)).YLabel.String = sprintf('m_{NPV}');
        fh.Children(xLabelN(ik)).XLabel.String = sprintf('m_{NPV}');
    end
    
end

[Yaser Khojah]

Dear Mehmed can expalin how much your help has saved me.... Thanks a lot

[Mehmed Saad]

Welcome

Answer 1

[Mehmed Saad]

[r,p,h] = corrplot(Mat_All_1_4_5, 'varNames', VariableNames);% change here pass handle output

h contains handles to plotted graphic object

type h in command window

h

You will see

h =

7×7 graphics array:

Histogram Line Line Line Line Line Line

Line Histogram Line Line Line Line Line

Line Line Histogram Line Line Line Line

Line Line Line Histogram Line Line Line

Line Line Line Line Histogram Line Line

Line Line Line Line Line Histogram Line

Line Line Line Line Line Line Histogram

Now all the diagonal elements are histogram

either generate logical diagonal matrix and index it or use subs (1,1) (2,2) (3,3),... (7,7)

For example

h(2,2).Data = rand(100,1)