Hi Michael,
I understand that you are trying to create a histogram to show the distribution of the data in the final time-point and want to set the colors of the bars to give the effect of a heatmap but in one dimension. Please find below the code to achieve the same.
% Number of lines and data points
numLines = 36;
numPoints = 10;
% Generate random endpoints for each line
% endPoints = randi([-200, 200], numLines, 1);
endPoints = normrnd(0, 50, numLines, 1); % Adjust the standard deviation as needed
% Create x values
x = linspace(0, 1, numPoints);
% Plotting the lines
figure;
subplot(1, 2, 1);
hold on;
for i = 1:numLines
y = linspace(0, endPoints(i), numPoints);
plot(x, y);
end
hold off;
% Set axis labels and title
xlabel('X');
ylabel('Y');
title('36 Straight Lines');
numBins = 6;
[counts, edges] = histcounts(endPoints, numBins, 'BinLimits', [-200, 200]);
subplot(1, 2, 2);
% Create a heatmap-like effect using imagesc
imagesc(counts);
colormap('hot');
colorbar;
% Set the x-axis tick labels
xticks(1:numBins);
xticklabels(round(edges, 2));
xlabel('Ending Time-point');
% Set the y-axis label
ylabel('Frequency');
The above code creates a sample graph like the ones described in the question. The vertical line heatmap is created and placed to the right of the sample graph. You can refer to the following documentations for more information on the code:
- https://www.mathworks.com/help/matlab/ref/histcounts.html
- https://www.mathworks.com/help/matlab/ref/imagesc.html
- https://www.mathworks.com/help/matlab/ref/colormap.html
Hope this helps.
