Connecting Bin centres in Histogram

Hi People,

I am plotting an histogram on a semi-log axis (X-axis is logarithmic) while the Y-axis is normal.

I am wanting to connect the bin centres of my histogram and plot a curve from them. I am unable to do so, I have read a number of forums but unable to do it.

I am attaching my code, if someone could suggest me any imputs it would really be helpful.

Regards,

fig1 = figure('Name','a','color','w','position',[Fig.x Fig.y Fig.w Fig.h],'papersize',[Fig.w Fig.h],'paperposition',[0 0 Fig.w Fig.h]);
ax1 = axes;  
[~,edges] = histcounts(log10(Duration),20);
h1 = histogram(Duration,10.^edges)
set(gca,'xscale','log');
h1.Normalization = 'probability';
hold on

[~,edges] =histcounts(log10(Duration1),20);
h2 = histogram(Duration1,10.^edges);
hold on;
set(gca,'xscale','log');
h2.Normalization = 'probability';

Nihar.

[Manas Minnoor]

Have you tried this?

https://in.mathworks.com/matlabcentral/answers/422000-matlab-histogram-connecting-bin-centers-to-make-a-curve

[Nihar Jariwala]

I have already tried that doesn't seem to work.

Answer 1

[Image Analyst]

Try this. Is it what you want?

clc;	% Clear command window.
fprintf('Running %s.m ...\n', mfilename);
clear;	% Delete all variables.
close all;	% Close all figure windows except those created by imtool.
workspace;	% Make sure the workspace panel is showing.
fontSize = 14;

% Make up data.
Fig.x = 1;
Fig.y = 1;
Fig.w = 1800;
Fig.h = 1000;
Duration = 200 + randn(1, 1000000);
Duration1 = 190 + randn(1, 1000000);

%------------------------------------------------------------------------------------------------
fig1 = figure('Name','a','color','w','position',[Fig.x Fig.y Fig.w Fig.h],'papersize',[Fig.w Fig.h]);
ax1 = axes;  
[~,edges] = histcounts(log10(Duration),20);
h1 = histogram(Duration,10.^edges)
set(gca,'xscale','log');
h1.Normalization = 'probability';
% Plot curve from middle of top of bar to other bars.
hold on
% Get the bin centers as the average between the edges.
binCenters = (h1.BinEdges(1:end-1) + h1.BinEdges(2:end)) / 2;
hold on;
plot(binCenters, h1.Values, 'r.-', 'LineWidth', 2, 'MarkerSize', 40);

[~,edges] =histcounts(log10(Duration1),20);
h2 = histogram(Duration1,10.^edges);
hold on;
set(gca,'xscale','log');
h2.Normalization = 'probability';
% Plot curve from middle of top of bar to other bars.
hold on
% Get the bin centers as the average between the edges.
binCenters = (h2.BinEdges(1:end-1) + h2.BinEdges(2:end)) / 2;
hold on;
plot(binCenters, h2.Values, 'r.-', 'LineWidth', 2, 'MarkerSize', 40);
grid on;

[Image Analyst]

Nihar, did that solve it or not? Please answer to respect the time I spent for you.