MATLAB: Histogram2 configuration for colorbar and frenquency of cells

histogram

Hello, how can i do this in matlab? Put the frenquency and the colours as the colorbar.

Best Answer

Hi,

try somethings like this when using histogram2

% Your data 
data.X = randn(1,10000).*2+10;
data.Y = randn(1,10000)+6;
data.XEdges = 0:1:20;
data.YEdges = 0:12;
% Data counting number of occurencies
h=histogram2(data.X,data.Y ,data.XEdges, data.YEdges,'FaceColor','flat','EdgeColor','none');
% Modifying colormap with a bit of white at the end
cb = colorbar;
p=colormap('jet');
p(1:7,1:3) = [linspace(1,0,7)',linspace(1,0,7)',ones(7,1)];
colormap(p);
cb.Label.String = 'ColorBarString';
% Some labels
xlabel('X')
ylabel('Y')
zlabel('Enumeration of occurencies')
% create text labels from histcounts2
N = histcounts2(data.X,data.Y,data.XEdges,data.YEdges);
for xi=1:size(N,1)
    for yi=1:size(N,2)
        if N(xi,yi) > 0
            text(mean(data.XEdges(xi:xi+1)), mean(data.YEdges(yi:yi+1)), num2str(N(xi,yi)), 'HorizontalAlignment', 'center', 'VerticalAlignment', 'middle');
        end
    end
end
h.FaceAlpha = .5;
% plot some curves at bottom
hold on,
plot(1:20,1:20)
% change view to 2D from below (to see texts & plots)
view(0,-90)
% reverse YDir
h.Parent.YDir = 'reverse';

Alternatively you could use other plot commands like bar3, ...

This should help you going where you want.

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MATLAB: How to show bin counts’ percentage values in Histogram2 tile plot

I have solved it writing a function manually add text to each rectangle.

Here is the function:

function hHist = normalized_histogram2(hAxes,xVals,yVals,xEdges,yEdges)
% Creates a 2D Histogram plot of data counts percentage in each bins.
% Add percentage values as text inside each bin. 
% Font size and font weight can be changed manually inside the code or
% added to function inputs. 
% NOTE: If text does not fit the rectangles, change font size or maximize
% figure plot. 
%% inputs: 
% hAxes - axis handle object for the plot
% xVals - a double vector of x values
% yVals - a double vector of y values
% NOTE: xVals and yVals must be the same length
% xEdges - a double vector of x bins
% yEdges - a double vector of y bins
%% outputs:
% hHist - histogram object handle
hist_Counts = histcounts2(xVals,yVals,xEdges,yEdges);
hist_Counts_normalized = (hist_Counts / sum(hist_Counts,'all'))*100;
hHist = histogram2(hAxes,'XBinEdges',xEdges,'YBinEdges',yEdges,'DisplayStyle','tile','BinCounts',hist_Counts_normalized);
colorbar;
xBinCenters = hHist.XBinEdges - [0,diff(hHist.XBinEdges)/2];
yBinCenters = hHist.YBinEdges - [0,diff(hHist.YBinEdges)/2];
for i = 2:numel(xBinCenters)
    
    for j = 2:numel(yBinCenters)
        x_loc = xBinCenters(i);
        y_loc = yBinCenters(j);
        if ~(round(hHist.Values(i-1,j-1),2) == 0)
            text(hAxes,x_loc,y_loc,[num2str(round(hHist.Values(i-1,j-1),2)),'%'],'Color',[0 0 0],'FontSize',10,'FontWeight','bold');
        else
            continue
        end
        
    end
end

Here is the demo:

%% Data Creation:
xVals = randn(1,10000);
yVals = randn(1,1000)*5;
xEdges = min(xVals):1:max(xVals);
yEdges = min(yVals):5:max(yVals);
%% Demo:
hFig = figure;
hAxes = axes(hFig);
normalized_histogram2(hAxes,xVals,yVals,xEdges,yEdges);
% make plot look beautiful:
xlabel('X Data');
ylabel('Y Data');
title('Normalized Histogram 2');
hFig.WindowState = 'maximized';

It will look like below:

Best Answer

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