Two histograms with different x axis /values

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Turbulence Analysis 2022-2-11

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评论： Turbulence Analysis 2022-3-2

采纳的回答： Voss

matlab.mat

Hi,

I am trying plot histogram with two different x values on the single plot. Did somebody tried something similar like this before..

For example, as shown in the attached files, data in the file A spans from 0 to 100, and whereas data in file B spans over 0 to 2500..

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Voss 2022-2-11

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https://ww2.mathworks.cn/matlabcentral/answers/1647770-two-histograms-with-different-x-axis-values#answer_893845

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% some data:

A = 12*randn(1,100)+50;

B = 300*randn(1,1000)+1250;

% some histograms from the data:

histogram(B);

hold on

histogram(A);

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Turbulence Analysis 2022-2-12

Do you want both y values to be scaled to a common maximum height? Like each normalized independently like this last plot, or don't scale y and use the actual counts, like I did in my last comment?

It depends, but mostly Y axis scale remains same.. Because Y axis represents number density . Yes, it is similar to the one you shown in the previous..

Do you want both histograms to have the same number of bins so that the bars overlap (except that the heights may differ)?

Yes, same no. of bins would be perfect..

Do you want the x axis to have the same values? But what if the data is not in the same range (like 1-100, and 0-2000)? Which x axis values would you want to display - the values from the first histogram or values from the second histogram?

Yes, the data is not in same range. I always need to compare the histograms of two data sets, one's range is 0 to 2000 and other is 0 to 100. Hence, it is better to show x axis in the both the ranges (like shown in the above plot)

And I believe you'd need a legend, right?

Yes, I need legend too.

Voss 2022-3-2

在 MATLAB Online 中打开

% some data:

A = 12*randn(1,100)+50;

B = 300*randn(1,1000)+1250;

C = 12*randn(1,100)+50;

figure();

ax_b = gca();

ax_a = copyobj(ax_b,gcf());

colors = get(ax_a,'ColorOrder');

n_bins = 20;

% some histograms from the data:

h_a = histogram(ax_a,A,n_bins,'FaceColor',colors(2,:),'FaceAlpha',0.5);

h_b = histogram(ax_b,B,n_bins,'FaceColor',colors(1,:),'FaceAlpha',0.5);

set(ax_a,'NextPlot','add');

h_c = histogram(ax_a,C,n_bins, ...

'BinEdges',get(h_a,'BinEdges'), ...

'FaceColor',colors(3,:),'FaceAlpha',0.5);

ylabel(ax_a,'A, C');

ylabel(ax_b,'B');

set(ax_a, ...

'Box','off', ...

'Color','none', ...

'XAxisLocation','top', ...

'YAxisLocation','right', ...

'XColor',colors(2,:), ...

'YColor',colors(2,:));

set(ax_b, ...

'Box','off', ...

'XColor',colors(1,:), ...

'YColor',colors(1,:));

legend([h_a h_b h_c]);

Turbulence Analysis 2022-3-2

Excellent Thanks

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