# Two histograms with different x axis /values

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Turbulence Analysis am 11 Feb. 2022
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 am 11 Feb. 2022
It's not clear how the contents of the attached .mat file relate to the data in file A and file B as described.
whos
Name Size Bytes Class Attributes ans 1x35 70 char data 4650x4 148800 double
data(1:10,:)
ans = 10×4
-79.0908 131.4540 -0.3971 -0.7163 -76.9090 131.4540 -0.3315 -0.5731 -74.7272 131.4540 -0.2215 -0.3192 -72.5453 131.4540 -0.1336 0.0441 -70.3635 131.4540 -0.0808 0.1728 -68.1817 131.4540 -0.0107 0.2184 -65.9999 131.4540 0.0603 0.0918 -63.8181 131.4540 0.2081 0.0550 -61.6363 131.4540 0.3676 -0.0100 -59.4544 131.4540 0.4558 -0.0613
[min(data); max(data)]
ans = 2×4
-79.0908 -1.6367 -3.5377 -2.9382 82.3636 131.4540 4.3992 13.6677

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### Akzeptierte Antwort

Voss am 11 Feb. 2022
% 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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Voss am 2 Mär. 2022
% 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);
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 am 2 Mär. 2022
Excellent Thanks

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### Weitere Antworten (1)

Turbulence Analysis am 2 Mär. 2022
Excellent Thanks
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