I have a series of XRD diffractograms from a single sample, at different depths. I want to plot the spectra as a 3D line plot, as seen as below:
(From https://link.springer.com/article/10.1016%2FS1672-6529%2806%2960003-6)
I use the following code to view my XRD data in Matlab:
data = importdata('example_data.dat') ; % load the data from text file
semilogy(data(:,1),data(:,2)) ; % plot the data
How do I go from here?
TIA

 채택된 답변

Star Strider
Star Strider 2021년 9월 7일
편집: Star Strider 2021년 9월 7일

1 개 추천

When I click on the link, I get a ‘DOI Not Found’ error. (EDIT — The new link is to an article behind a paywall, so I do not have access to it.)
That problem aside, if the data are in a matrix, it is likely possible just use surf to plot the matrix. The axis tick labels might need to be added manually in separate statements, however this is not difficult.
If you want to upload / attach the .XRD file, it would be necessary to put it into a .zip file first. Any information you have on its contents and format would be helpful, since I dioubt many here are familiar with that format (I am not, since .dat files can contain anything).
The complete matrix, with the values imported and plotted —
Uz = unzip('Plot3D[1].zip')
Uz = 1×103 cell array
{'Plot3D/569965_0-0.dat'} {'Plot3D/569965_0-1.dat'} {'Plot3D/569965_0-10.dat'} {'Plot3D/569965_0-100.dat'} {'Plot3D/569965_0-101.dat'} {'Plot3D/569965_0-102.dat'} {'Plot3D/569965_0-11.dat'} {'Plot3D/569965_0-12.dat'} {'Plot3D/569965_0-13.dat'} {'Plot3D/569965_0-14.dat'} {'Plot3D/569965_0-15.dat'} {'Plot3D/569965_0-16.dat'} {'Plot3D/569965_0-17.dat'} {'Plot3D/569965_0-18.dat'} {'Plot3D/569965_0-19.dat'} {'Plot3D/569965_0-2.dat'} {'Plot3D/569965_0-20.dat'} {'Plot3D/569965_0-21.dat'} {'Plot3D/569965_0-22.dat'} {'Plot3D/569965_0-23.dat'} {'Plot3D/569965_0-24.dat'} {'Plot3D/569965_0-25.dat'} {'Plot3D/569965_0-26.dat'} {'Plot3D/569965_0-27.dat'} {'Plot3D/569965_0-28.dat'} {'Plot3D/569965_0-29.dat'} {'Plot3D/569965_0-3.dat'} {'Plot3D/569965_0-30.dat'} {'Plot3D/569965_0-31.dat'} {'Plot3D/569965_0-32.dat'} {'Plot3D/569965_0-33.dat'} {'Plot3D/569965_0-34.dat'} {'Plot3D/569965_0-35.dat'} {'Plot3D/569965_0-36.dat'} {'Plot3D/569965_0-37.dat'} {'Plot3D/569965_0-38.dat'} {'Plot3D/569965_0-39.dat'} {'Plot3D/569965_0-4.dat'} {'Plot3D/569965_0-40.dat'} {'Plot3D/569965_0-41.dat'} {'Plot3D/569965_0-42.dat'} {'Plot3D/569965_0-43.dat'} {'Plot3D/569965_0-44.dat'} {'Plot3D/569965_0-45.dat'} {'Plot3D/569965_0-46.dat'} {'Plot3D/569965_0-47.dat'} {'Plot3D/569965_0-48.dat'} {'Plot3D/569965_0-49.dat'} {'Plot3D/569965_0-5.dat'} {'Plot3D/569965_0-50.dat'} {'Plot3D/569965_0-51.dat'} {'Plot3D/569965_0-52.dat'} {'Plot3D/569965_0-53.dat'} {'Plot3D/569965_0-54.dat'} {'Plot3D/569965_0-55.dat'} {'Plot3D/569965_0-56.dat'} {'Plot3D/569965_0-57.dat'} {'Plot3D/569965_0-58.dat'} {'Plot3D/569965_0-59.dat'} {'Plot3D/569965_0-6.dat'} {'Plot3D/569965_0-60.dat'} {'Plot3D/569965_0-61.dat'} {'Plot3D/569965_0-62.dat'} {'Plot3D/569965_0-63.dat'} {'Plot3D/569965_0-64.dat'} {'Plot3D/569965_0-65.dat'} {'Plot3D/569965_0-66.dat'} {'Plot3D/569965_0-67.dat'} {'Plot3D/569965_0-68.dat'} {'Plot3D/569965_0-69.dat'} {'Plot3D/569965_0-7.dat'} {'Plot3D/569965_0-70.dat'} {'Plot3D/569965_0-71.dat'} {'Plot3D/569965_0-72.dat'} {'Plot3D/569965_0-73.dat'} {'Plot3D/569965_0-74.dat'} {'Plot3D/569965_0-75.dat'} {'Plot3D/569965_0-76.dat'} {'Plot3D/569965_0-77.dat'} {'Plot3D/569965_0-78.dat'} {'Plot3D/569965_0-79.dat'} {'Plot3D/569965_0-8.dat'} {'Plot3D/569965_0-80.dat'} {'Plot3D/569965_0-81.dat'} {'Plot3D/569965_0-82.dat'} {'Plot3D/569965_0-83.dat'} {'Plot3D/569965_0-84.dat'} {'Plot3D/569965_0-85.dat'} {'Plot3D/569965_0-86.dat'} {'Plot3D/569965_0-87.dat'} {'Plot3D/569965_0-88.dat'} {'Plot3D/569965_0-89.dat'} {'Plot3D/569965_0-9.dat'} {'Plot3D/569965_0-90.dat'} {'Plot3D/569965_0-91.dat'} {'Plot3D/569965_0-92.dat'} {'Plot3D/569965_0-93.dat'} {'Plot3D/569965_0-94.dat'} {'Plot3D/569965_0-95.dat'} {'Plot3D/569965_0-96.dat'} {'Plot3D/569965_0-97.dat'} {'Plot3D/569965_0-98.dat'} {'Plot3D/569965_0-99.dat'}
x = readmatrix(Uz{1}, 'Range','A:A')
x = 1432×1
2.4604 2.4967 2.5330 2.5693 2.6056 2.6419 2.6782 2.7145 2.7508 2.7871
ymtx = NaN(numel(x),numel(Uz));
for k = 1:numel(Uz)
ymtx(:,k) = readmatrix(Uz{k}, 'Range','B:B');
end
ymtx
ymtx = 1432×103
1.0e+03 * 1.2665 1.2390 1.2957 1.3295 1.2866 1.2756 1.3268 1.2701 1.2829 1.2226 1.2783 1.2601 1.2372 1.3058 1.2701 1.2336 1.2683 1.3149 1.2665 1.2528 1.2866 1.2747 1.2875 1.2546 1.2372 1.2482 1.3030 1.2144 1.2601 1.2327 1.4501 1.4590 1.5009 1.4444 1.4293 1.4477 1.4837 1.4664 1.4704 1.4638 1.4245 1.4523 1.4647 1.4399 1.4495 1.4558 1.4585 1.4437 1.4214 1.4375 1.4426 1.4605 1.3969 1.4208 1.4349 1.4192 1.4393 1.3960 1.4216 1.4406 1.5363 1.5556 1.5773 1.5481 1.5332 1.5465 1.5618 1.5608 1.5676 1.5171 1.5129 1.5126 1.5346 1.5261 1.5019 1.5353 1.5379 1.5365 1.5386 1.5538 1.5134 1.5041 1.4984 1.5068 1.5035 1.5194 1.5506 1.5214 1.5161 1.5338 1.5478 1.5654 1.5978 1.5399 1.5437 1.5322 1.5942 1.6009 1.5492 1.5622 1.5534 1.5291 1.5382 1.5195 1.5467 1.5613 1.5274 1.5388 1.5266 1.5480 1.5368 1.5309 1.5295 1.5255 1.5020 1.5091 1.5594 1.5322 1.5028 1.5248 1.4311 1.4366 1.4876 1.4550 1.4216 1.4367 1.4829 1.4560 1.4595 1.4462 1.4493 1.4380 1.4247 1.4277 1.4316 1.4370 1.4438 1.4556 1.4439 1.4534 1.4486 1.4815 1.4257 1.4244 1.4333 1.4281 1.4484 1.4249 1.4361 1.4369 1.2854 1.2920 1.3296 1.2637 1.2814 1.2909 1.3275 1.3605 1.3120 1.2900 1.2933 1.2971 1.2904 1.2928 1.2848 1.2823 1.3208 1.2892 1.2776 1.2796 1.2881 1.2830 1.2718 1.2602 1.2691 1.2963 1.2687 1.2730 1.2636 1.2779 1.0883 1.0985 1.1391 1.1115 1.1109 1.0882 1.1312 1.1230 1.1519 1.1412 1.1091 1.1299 1.1354 1.1099 1.1019 1.0860 1.1173 1.1026 1.1176 1.1082 1.1124 1.1322 1.0924 1.1117 1.1133 1.1100 1.0867 1.1197 1.1160 1.1154 0.9009 0.8975 0.9614 0.9353 0.9231 0.9332 0.9357 0.9385 0.9338 0.9446 0.9514 0.9479 0.9511 0.9505 0.9511 0.8918 0.9264 0.9319 0.9417 0.9383 0.9411 0.9382 0.9312 0.9162 0.9311 0.9320 0.8924 0.9365 0.9382 0.9440 0.7658 0.7547 0.8386 0.8016 0.7964 0.8062 0.8311 0.8224 0.8386 0.8390 0.8350 0.8314 0.8377 0.8427 0.8188 0.7682 0.8285 0.8411 0.8219 0.8207 0.8176 0.8246 0.8032 0.8206 0.8204 0.8089 0.7647 0.8138 0.8006 0.7879 0.6761 0.6596 0.7479 0.7089 0.7084 0.7049 0.7126 0.7284 0.7231 0.7455 0.7445 0.7436 0.7518 0.7280 0.7464 0.6505 0.7565 0.7515 0.7362 0.7359 0.7348 0.7378 0.7407 0.7288 0.7355 0.7176 0.6595 0.7250 0.7209 0.7094
figure
surf(ymtx, 'EdgeColor','none')
grid on
xticklabels = string(x);
yt = yticks;
NrYticks = 9; % Choose Any Integer Divisor of '54'
set(gca, 'YTick',linspace(min(yt), max(yt), NrYticks), 'YTickLabel',linspace(0, -54, NrYticks))
xlabel('x')
ylabel('y')
zlabel('z')
view(60,30)
% shading('interp')
Experiment to get different results.
.

댓글 수: 10

Sam
Sam 2021년 9월 7일
This has worked brilliantly, thank you so much, I don't think I would have been able to work this out alone!
Star Strider
Star Strider 2021년 9월 7일
As always, my pleasure!
I’m certain you’d have worked it out. It likely would have taken only a bit longer than it did me.
.
Sam
Sam 2021년 9월 7일
Sorry, one last question, how do I edit the x and y values as they don't seem to co-ordinate with the data, e.g. the y axis should go from 0 to ~54
Star Strider
Star Strider 2021년 9월 7일
No worries. My apologies for the delay — I was out running errands.
I have edited my Answer to include the y-axis tick values.
Sam
Sam 2021년 9월 8일
No need to apologise, you have been so quick to help!
Thank you so much!
Star Strider
Star Strider 2021년 9월 8일
As always, my pleasure!
.
Star Strider
Star Strider 2022년 1월 11일
편집: Star Strider 2022년 1월 11일
I sort of forgot where we were here (it’s been 4 months) so it took a few minutes to figure this out.
Depending on what the desired result is, there are two ways to do this:
  1. To simply restrict the plot, use the ylim function (straightforward),
  2. To select matrix rows that limit the values used in the surf call (as I did here), find the closest matrix row corresponding to the desired result, and plot only those rows.
The code here trims the matrix to the desired values, so that same approach can be used if only those values (limited row range of ‘ymtx’) are needed in other calculations. The ‘ChooseYVal’ value controls where the plot begins.
Uz = unzip('https://www.mathworks.com/matlabcentral/answers/uploaded_files/731649/Plot3D%5B1%5D.zip')
Uz = 1×103 cell array
{'Plot3D/569965_0-0.dat'} {'Plot3D/569965_0-1.dat'} {'Plot3D/569965_0-10.dat'} {'Plot3D/569965_0-100.dat'} {'Plot3D/569965_0-101.dat'} {'Plot3D/569965_0-102.dat'} {'Plot3D/569965_0-11.dat'} {'Plot3D/569965_0-12.dat'} {'Plot3D/569965_0-13.dat'} {'Plot3D/569965_0-14.dat'} {'Plot3D/569965_0-15.dat'} {'Plot3D/569965_0-16.dat'} {'Plot3D/569965_0-17.dat'} {'Plot3D/569965_0-18.dat'} {'Plot3D/569965_0-19.dat'} {'Plot3D/569965_0-2.dat'} {'Plot3D/569965_0-20.dat'} {'Plot3D/569965_0-21.dat'} {'Plot3D/569965_0-22.dat'} {'Plot3D/569965_0-23.dat'} {'Plot3D/569965_0-24.dat'} {'Plot3D/569965_0-25.dat'} {'Plot3D/569965_0-26.dat'} {'Plot3D/569965_0-27.dat'} {'Plot3D/569965_0-28.dat'} {'Plot3D/569965_0-29.dat'} {'Plot3D/569965_0-3.dat'} {'Plot3D/569965_0-30.dat'} {'Plot3D/569965_0-31.dat'} {'Plot3D/569965_0-32.dat'} {'Plot3D/569965_0-33.dat'} {'Plot3D/569965_0-34.dat'} {'Plot3D/569965_0-35.dat'} {'Plot3D/569965_0-36.dat'} {'Plot3D/569965_0-37.dat'} {'Plot3D/569965_0-38.dat'} {'Plot3D/569965_0-39.dat'} {'Plot3D/569965_0-4.dat'} {'Plot3D/569965_0-40.dat'} {'Plot3D/569965_0-41.dat'} {'Plot3D/569965_0-42.dat'} {'Plot3D/569965_0-43.dat'} {'Plot3D/569965_0-44.dat'} {'Plot3D/569965_0-45.dat'} {'Plot3D/569965_0-46.dat'} {'Plot3D/569965_0-47.dat'} {'Plot3D/569965_0-48.dat'} {'Plot3D/569965_0-49.dat'} {'Plot3D/569965_0-5.dat'} {'Plot3D/569965_0-50.dat'} {'Plot3D/569965_0-51.dat'} {'Plot3D/569965_0-52.dat'} {'Plot3D/569965_0-53.dat'} {'Plot3D/569965_0-54.dat'} {'Plot3D/569965_0-55.dat'} {'Plot3D/569965_0-56.dat'} {'Plot3D/569965_0-57.dat'} {'Plot3D/569965_0-58.dat'} {'Plot3D/569965_0-59.dat'} {'Plot3D/569965_0-6.dat'} {'Plot3D/569965_0-60.dat'} {'Plot3D/569965_0-61.dat'} {'Plot3D/569965_0-62.dat'} {'Plot3D/569965_0-63.dat'} {'Plot3D/569965_0-64.dat'} {'Plot3D/569965_0-65.dat'} {'Plot3D/569965_0-66.dat'} {'Plot3D/569965_0-67.dat'} {'Plot3D/569965_0-68.dat'} {'Plot3D/569965_0-69.dat'} {'Plot3D/569965_0-7.dat'} {'Plot3D/569965_0-70.dat'} {'Plot3D/569965_0-71.dat'} {'Plot3D/569965_0-72.dat'} {'Plot3D/569965_0-73.dat'} {'Plot3D/569965_0-74.dat'} {'Plot3D/569965_0-75.dat'} {'Plot3D/569965_0-76.dat'} {'Plot3D/569965_0-77.dat'} {'Plot3D/569965_0-78.dat'} {'Plot3D/569965_0-79.dat'} {'Plot3D/569965_0-8.dat'} {'Plot3D/569965_0-80.dat'} {'Plot3D/569965_0-81.dat'} {'Plot3D/569965_0-82.dat'} {'Plot3D/569965_0-83.dat'} {'Plot3D/569965_0-84.dat'} {'Plot3D/569965_0-85.dat'} {'Plot3D/569965_0-86.dat'} {'Plot3D/569965_0-87.dat'} {'Plot3D/569965_0-88.dat'} {'Plot3D/569965_0-89.dat'} {'Plot3D/569965_0-9.dat'} {'Plot3D/569965_0-90.dat'} {'Plot3D/569965_0-91.dat'} {'Plot3D/569965_0-92.dat'} {'Plot3D/569965_0-93.dat'} {'Plot3D/569965_0-94.dat'} {'Plot3D/569965_0-95.dat'} {'Plot3D/569965_0-96.dat'} {'Plot3D/569965_0-97.dat'} {'Plot3D/569965_0-98.dat'} {'Plot3D/569965_0-99.dat'}
x = readmatrix(Uz{1}, 'Range','A:A')
x = 1432×1
2.4604 2.4967 2.5330 2.5693 2.6056 2.6419 2.6782 2.7145 2.7508 2.7871
ymtx = NaN(numel(x),numel(Uz));
for k = 1:numel(Uz)
ymtx(:,k) = readmatrix(Uz{k}, 'Range','B:B');
end
ymtx
ymtx = 1432×103
1.0e+03 * 1.2665 1.2390 1.2957 1.3295 1.2866 1.2756 1.3268 1.2701 1.2829 1.2226 1.2783 1.2601 1.2372 1.3058 1.2701 1.2336 1.2683 1.3149 1.2665 1.2528 1.2866 1.2747 1.2875 1.2546 1.2372 1.2482 1.3030 1.2144 1.2601 1.2327 1.4501 1.4590 1.5009 1.4444 1.4293 1.4477 1.4837 1.4664 1.4704 1.4638 1.4245 1.4523 1.4647 1.4399 1.4495 1.4558 1.4585 1.4437 1.4214 1.4375 1.4426 1.4605 1.3969 1.4208 1.4349 1.4192 1.4393 1.3960 1.4216 1.4406 1.5363 1.5556 1.5773 1.5481 1.5332 1.5465 1.5618 1.5608 1.5676 1.5171 1.5129 1.5126 1.5346 1.5261 1.5019 1.5353 1.5379 1.5365 1.5386 1.5538 1.5134 1.5041 1.4984 1.5068 1.5035 1.5194 1.5506 1.5214 1.5161 1.5338 1.5478 1.5654 1.5978 1.5399 1.5437 1.5322 1.5942 1.6009 1.5492 1.5622 1.5534 1.5291 1.5382 1.5195 1.5467 1.5613 1.5274 1.5388 1.5266 1.5480 1.5368 1.5309 1.5295 1.5255 1.5020 1.5091 1.5594 1.5322 1.5028 1.5248 1.4311 1.4366 1.4876 1.4550 1.4216 1.4367 1.4829 1.4560 1.4595 1.4462 1.4493 1.4380 1.4247 1.4277 1.4316 1.4370 1.4438 1.4556 1.4439 1.4534 1.4486 1.4815 1.4257 1.4244 1.4333 1.4281 1.4484 1.4249 1.4361 1.4369 1.2854 1.2920 1.3296 1.2637 1.2814 1.2909 1.3275 1.3605 1.3120 1.2900 1.2933 1.2971 1.2904 1.2928 1.2848 1.2823 1.3208 1.2892 1.2776 1.2796 1.2881 1.2830 1.2718 1.2602 1.2691 1.2963 1.2687 1.2730 1.2636 1.2779 1.0883 1.0985 1.1391 1.1115 1.1109 1.0882 1.1312 1.1230 1.1519 1.1412 1.1091 1.1299 1.1354 1.1099 1.1019 1.0860 1.1173 1.1026 1.1176 1.1082 1.1124 1.1322 1.0924 1.1117 1.1133 1.1100 1.0867 1.1197 1.1160 1.1154 0.9009 0.8975 0.9614 0.9353 0.9231 0.9332 0.9357 0.9385 0.9338 0.9446 0.9514 0.9479 0.9511 0.9505 0.9511 0.8918 0.9264 0.9319 0.9417 0.9383 0.9411 0.9382 0.9312 0.9162 0.9311 0.9320 0.8924 0.9365 0.9382 0.9440 0.7658 0.7547 0.8386 0.8016 0.7964 0.8062 0.8311 0.8224 0.8386 0.8390 0.8350 0.8314 0.8377 0.8427 0.8188 0.7682 0.8285 0.8411 0.8219 0.8207 0.8176 0.8246 0.8032 0.8206 0.8204 0.8089 0.7647 0.8138 0.8006 0.7879 0.6761 0.6596 0.7479 0.7089 0.7084 0.7049 0.7126 0.7284 0.7231 0.7455 0.7445 0.7436 0.7518 0.7280 0.7464 0.6505 0.7565 0.7515 0.7362 0.7359 0.7348 0.7378 0.7407 0.7288 0.7355 0.7176 0.6595 0.7250 0.7209 0.7094
figure
surf(ymtx, 'EdgeColor','none')
grid on
xticklabels = string(x);
yt = yticks;
NrYticks = 9; % Choose Any Integer Divisor of '54'
ytixrows = linspace(0, -54, size(ymtx,1)); % Row Coordinates As 'Y-Tick' Values
ChooseYVal = -7.5; % Next Plot Begins Here
rowidx = ceil(interp1(ytixrows, (1:size(ymtx,1)), ChooseYVal)) % Row Index Corresponding To 'ChooseYVal'
rowidx = 200
set(gca, 'YTick',linspace(min(yt), max(yt), NrYticks), 'YTickLabel',linspace(0, -54, NrYticks))
xlabel('x')
ylabel('y')
zlabel('z')
title('Original With All Values Plotted')
view(60,30)
% shading('interp')
figure
surf(ymtx(rowidx:end,:), 'EdgeColor','none') % Uses Values Calculated In Previous Plot Code
grid on
xticklabels = string(x);
yt = yticks;
NrYticks = 9; % Choose Any Integer Divisor of '54'
% ytixrows = linspace(0, -54, size(ymtx,1)) % Row Coordinates As 'Y-Tick' Values
% ChooseYVal = -7.5;
% rowidx = ceil(interp1(ytixrows, (1:size(ymtx,1)), ChooseYVal)) % Row Index Corresponding To 'ChooseYVal'
set(gca, 'YTick',linspace(min(yt), max(yt), NrYticks), 'YTickLabel',linspace(ChooseYVal, -54, NrYticks))
xlabel('x')
ylabel('y')
zlabel('z')
title('Restricted To Values ≤-7.5 Plotted')
view(60,30)
.
Sam
Sam 2022년 1월 11일
Oh wow, thank you so much for such a quick response. As I'm not too familar with the language used at the start, I was struggling on this for quite a while.
Star Strider
Star Strider 2022년 1월 11일
As always, my pleasure!
If you have further questions and have problems figuring out how the code works, don’t struggle longer than necessary. Just ask, and I’ll do my best to provide an appropriate solution (or explain the reason a solution isn’t possible).

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추가 답변 (2개)

KSSV
KSSV 2021년 9월 7일

1 개 추천

Read about surf. This is your function.
Sam
Sam 2021년 9월 7일

0 개 추천

Thank you for pointing this out, I have edited this!
My data is in three columns, the third column is redundant (errors), but the first and second column are my x and y, respectively.
The z values are in the file title, i.e. 569965_0-2.dat = 569965 (scan name); 0 (line number); 2 (spot/depth number, there are 102 spots for depth, this will be the z I assume)
I have attached one line here in my zip.

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Sam
2021년 9월 7일

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2022년 1월 11일

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