how can I extract values from a struct matrix that contains only one value to make single matrix from it?

12 Ansichten (letzte 30 Tage)
hsnHkl
hsnHkl am 5 Feb. 2024
Kommentiert: Stephen23 am 5 Feb. 2024
Ran in:
I have This code down below that contains one value . I want extract the values so that I can plot a line plot . Instead of a line plot I can only obtain a plot down below
S=load('U_at_right_top');U_at_right_top=S.U_at_right_top;%edit Rik: added load
n=1000
n = 1000
for j=1:n
fnu=sprintf('u%d',j);
fnv=sprintf('v%d',j);
u = U_at_right_top.(fnu).u;
%v = V_at_right_top.(fnv).v;
plot(j,u,'x--')
hold on
end
  1 Kommentar
Stephen23
Stephen23 am 5 Feb. 2024
Bearbeitet: Stephen23 am 5 Feb. 2024
Ran in:
S = load('U_at_right_top');
S = S.U_at_right_top
S = struct with fields:
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struct] u742: [1×1 struct] u743: [1×1 struct] u744: [1×1 struct] u745: [1×1 struct] u746: [1×1 struct] u747: [1×1 struct] u748: [1×1 struct] u749: [1×1 struct] u750: [1×1 struct] u751: [1×1 struct] u752: [1×1 struct] u753: [1×1 struct] u754: [1×1 struct] u755: [1×1 struct] u756: [1×1 struct] u757: [1×1 struct] u758: [1×1 struct] u759: [1×1 struct] u760: [1×1 struct] u761: [1×1 struct] u762: [1×1 struct] u763: [1×1 struct] u764: [1×1 struct] u765: [1×1 struct] u766: [1×1 struct] u767: [1×1 struct] u768: [1×1 struct] u769: [1×1 struct] u770: [1×1 struct] u771: [1×1 struct] u772: [1×1 struct] u773: [1×1 struct] u774: [1×1 struct] u775: [1×1 struct] u776: [1×1 struct] u777: [1×1 struct] u778: [1×1 struct] u779: [1×1 struct] u780: [1×1 struct] u781: [1×1 struct] u782: [1×1 struct] u783: [1×1 struct] u784: [1×1 struct] u785: [1×1 struct] u786: [1×1 struct] u787: [1×1 struct] u788: [1×1 struct] u789: [1×1 struct] u790: [1×1 struct] u791: [1×1 struct] u792: [1×1 struct] u793: [1×1 struct] u794: [1×1 struct] u795: [1×1 struct] u796: [1×1 struct] u797: [1×1 struct] u798: [1×1 struct] u799: [1×1 struct] u800: [1×1 struct] u801: [1×1 struct] u802: [1×1 struct] u803: [1×1 struct] u804: [1×1 struct] u805: [1×1 struct] u806: [1×1 struct] u807: [1×1 struct] u808: [1×1 struct] u809: [1×1 struct] u810: [1×1 struct] u811: [1×1 struct] u812: [1×1 struct] u813: [1×1 struct] u814: [1×1 struct] u815: [1×1 struct] u816: [1×1 struct] u817: [1×1 struct] u818: [1×1 struct] u819: [1×1 struct] u820: [1×1 struct] u821: [1×1 struct] u822: [1×1 struct] u823: [1×1 struct] u824: [1×1 struct] u825: [1×1 struct] u826: [1×1 struct] u827: [1×1 struct] u828: [1×1 struct] u829: [1×1 struct] u830: [1×1 struct] u831: [1×1 struct] u832: [1×1 struct] u833: [1×1 struct] u834: [1×1 struct] u835: [1×1 struct] u836: [1×1 struct] u837: [1×1 struct] u838: [1×1 struct] u839: [1×1 struct] u840: [1×1 struct] u841: [1×1 struct] u842: [1×1 struct] u843: [1×1 struct] u844: [1×1 struct] u845: [1×1 struct] u846: [1×1 struct] u847: [1×1 struct] u848: [1×1 struct] u849: [1×1 struct] u850: [1×1 struct] u851: [1×1 struct] u852: [1×1 struct] u853: [1×1 struct] u854: [1×1 struct] u855: [1×1 struct] u856: [1×1 struct] u857: [1×1 struct] u858: [1×1 struct] u859: [1×1 struct] u860: [1×1 struct] u861: [1×1 struct] u862: [1×1 struct] u863: [1×1 struct] u864: [1×1 struct] u865: [1×1 struct] u866: [1×1 struct] u867: [1×1 struct] u868: [1×1 struct] u869: [1×1 struct] u870: [1×1 struct] u871: [1×1 struct] u872: [1×1 struct] u873: [1×1 struct] u874: [1×1 struct] u875: [1×1 struct] u876: [1×1 struct] u877: [1×1 struct] u878: [1×1 struct] u879: [1×1 struct] u880: [1×1 struct] u881: [1×1 struct] u882: [1×1 struct] u883: [1×1 struct] u884: [1×1 struct] u885: [1×1 struct] u886: [1×1 struct] u887: [1×1 struct] u888: [1×1 struct] u889: [1×1 struct] u890: [1×1 struct] u891: [1×1 struct] u892: [1×1 struct] u893: [1×1 struct] u894: [1×1 struct] u895: [1×1 struct] u896: [1×1 struct] u897: [1×1 struct] u898: [1×1 struct] u899: [1×1 struct] u900: [1×1 struct] u901: [1×1 struct] u902: [1×1 struct] u903: [1×1 struct] u904: [1×1 struct] u905: [1×1 struct] u906: [1×1 struct] u907: [1×1 struct] u908: [1×1 struct] u909: [1×1 struct] u910: [1×1 struct] u911: [1×1 struct] u912: [1×1 struct] u913: [1×1 struct] u914: [1×1 struct] u915: [1×1 struct] u916: [1×1 struct] u917: [1×1 struct] u918: [1×1 struct] u919: [1×1 struct] u920: [1×1 struct] u921: [1×1 struct] u922: [1×1 struct] u923: [1×1 struct] u924: [1×1 struct] u925: [1×1 struct] u926: [1×1 struct] u927: [1×1 struct] u928: [1×1 struct] u929: [1×1 struct] u930: [1×1 struct] u931: [1×1 struct] u932: [1×1 struct] u933: [1×1 struct] u934: [1×1 struct] u935: [1×1 struct] u936: [1×1 struct] u937: [1×1 struct] u938: [1×1 struct] u939: [1×1 struct] u940: [1×1 struct] u941: [1×1 struct] u942: [1×1 struct] u943: [1×1 struct] u944: [1×1 struct] u945: [1×1 struct] u946: [1×1 struct] u947: [1×1 struct] u948: [1×1 struct] u949: [1×1 struct] u950: [1×1 struct] u951: [1×1 struct] u952: [1×1 struct] u953: [1×1 struct] u954: [1×1 struct] u955: [1×1 struct] u956: [1×1 struct] u957: [1×1 struct] u958: [1×1 struct] u959: [1×1 struct] u960: [1×1 struct] u961: [1×1 struct] u962: [1×1 struct] u963: [1×1 struct] u964: [1×1 struct] u965: [1×1 struct] u966: [1×1 struct] u967: [1×1 struct] u968: [1×1 struct] u969: [1×1 struct] u970: [1×1 struct] u971: [1×1 struct] u972: [1×1 struct] u973: [1×1 struct] u974: [1×1 struct] u975: [1×1 struct] u976: [1×1 struct] u977: [1×1 struct] u978: [1×1 struct] u979: [1×1 struct] u980: [1×1 struct] u981: [1×1 struct] u982: [1×1 struct] u983: [1×1 struct] u984: [1×1 struct] u985: [1×1 struct] u986: [1×1 struct] u987: [1×1 struct] u988: [1×1 struct] u989: [1×1 struct] u990: [1×1 struct] u991: [1×1 struct] u992: [1×1 struct] u993: [1×1 struct] u994: [1×1 struct] u995: [1×1 struct] u996: [1×1 struct] u997: [1×1 struct] u998: [1×1 struct] u999: [1×1 struct] u1000: [1×1 struct]
S.u1
ans = struct with fields:
u: 0.1659
Features of this data that should be avoided if possible:
  • Naming the variable the same as the filename. Avoid forcing lots of meta-data into the variable name: a much better (simpler, more reliable, more generalizable) approach is to store the meta-data in their own variables, e.g. in a variable named "position" or similar. Then your code will be simpler, more robust and easy to generalize.
  • Lots and lots and lots of fields with pseudo-indices in their names. Replace awkward pseudo-indices with one array and actual indexing. Your code will be simpler, more robust, and much more efficient.
  • Lots and lots and lots of scalar structures with one field each of which contains exactly one numeric scalar. Ouch!
Whenever meta-data is being forced into names of something then processing that data gets harder.
F = @(n)S.("u"+n);
A = [arrayfun(F, 1:numel(fieldnames(S))).u] % your data should be in an array
A = 1×1000
0.1659 0.1687 0.1745 0.1883 0.1867 0.1878 0.1904 0.2021 0.2060 0.2004 0.2044 0.2144 0.2264 0.2115 0.1913 0.1365 0.2197 0.1159 0.1076 0.1772 0.1478 0.1618 0.1716 0.1722 0.1652 0.1721 0.1789 0.1839 0.1959 0.1958

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Akzeptierte Antwort

Star Strider
Star Strider am 5 Feb. 2024
Bearbeitet: Star Strider am 5 Feb. 2024
Ran in:
Perhaps —
% imshow(imread('sagust_kose_hız_degisimi_v.jpg'))
LD = load('U_at_right_top.mat')
LD = struct with fields:
U_at_right_top: [1×1 struct]
U = structfun(@(x)x.u, LD.U_at_right_top); % One Line
L = numel(U); % Vector Length
Fs = 30/2; % Estimated Sampling Freqeuency
t = linspace(0, L-1, L)/Fs; % Time Vector
figure
plot(t, U, '.-')
grid
xlabel('Time')
ylabel('U')
EDIT — (5 Feb 2024 at 13:45)
Changed ‘U’ assignment.
.

Weitere Antworten (2)

Rik
Rik am 5 Feb. 2024
Ran in:
Using numbered field names is a bad idea. It is almost as bad as using numbered variable names directly.
The solution is to use arrays. This could have been a struct array.
S=load('U_at_right_top');U_at_right_top=S.U_at_right_top;
u = zeros(1,numel(fieldnames(U_at_right_top)));
for n=1:numel(u)
fnu=sprintf('u%d',n);
u(n) = U_at_right_top.(fnu).u;
end
plot(1:numel(u),u,'x--')
Jinal
Jinal am 5 Feb. 2024
Hi hsnHkl
You can store your struct values in an array, 'u' and use the array to create a line plot outside the for loop.
I am attaching the code snippet for your reference.
n = 1000;
u = 0;
for j=1:n
fnu=sprintf('u%d',j);
u(j) = U_at_right_top.(fnu).u;
end
plot(u);
Attaching documentation of 2-D line plot for your reference.

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