Create an array in workspace from multiple files

,filenames={'kx 10.txt','kx 20.txt','kx 30.txt'}

for i=1:numel(filenames)

load(filenames{i});

%print(filenames{i});

t_data(:,i) = lum.y0

end

Each file contains two columns of data, the first column is the range of frequency (same for every file) and the second column is the corresponding data (transmission). How can I create a block in the workspace to compile all the transmission data? (lum.x0 and lum.y0 is from the previous code. lum.y0 compiles all transmission data)

I wanted to make a colormap to represent different transmission data over the same range of frequency for all kx values (from file 0 to file 500). How can I proceed from here? Thank you.

%making the plot

angle = linspace(0,0.5,51);

wav_leng = lum.x0.';

figure;

imagesc(angle,wav_leng,t_data); colormap turbo; axis xy;

xlabel('kx')

ylabel('Freqency (THz)')

[Walter Roberson]

Why do you bother to load(), since you ignore what was loaded?

[KSSV]

Same question: https://in.mathworks.com/matlabcentral/answers/1711025-2-d-colormap-loading-txt-files?s_tid=prof_contriblnk

[Chalisa Mawla]

In the previous question it seems that all x, and all y are compiled vertically. Say for example, I actually need the 201*51 for x and y in the workspace. What should I do? Sorry my question is unclear.

[KSSV]

Your question is not quiet clear. You have two data points from the text files and third one you are defining on your own. How to link the third one with the existing data?

[Chalisa Mawla]

Sorry for the confusion. The third one is the kx value, the kx0.txt means those data is recorded for kx=0, kx10.txt records data at kx=0.1 etc.

Answer 1

[Chunru]

unzip("kx values.zip");
filenames = dir('*.txt');
filenames = sort({filenames.name}');
nfiles = length(filenames);
nfiles = 36;        % other files have different rows of data; check it out
kx = zeros(nfiles, 1);

for i=1:nfiles
    x = readtable(filenames{i});
    np = size(x, 1);
    var = strrep(filenames{i}, " ", "");
    var = strrep(var, ".txt", "");
    kx(i) = sscanf(var, 'kx%d');
    
    x.Properties.VariableNames = ["freq", var];
    if i == 1
        y = x;
    else
        y = [y x(:, end)];
    end
end

head(y)

ans = 8×37 table
       freq         kx0       kx10       kx20       kx30       kx40       kx50       kx60       kx70       kx80       kx90       kx100      kx110      kx120      kx130      kx140      kx150      kx160      kx170      kx180      kx190      kx200      kx210      kx220      kx230      kx240      kx250      kx260      kx270      kx280      kx290      kx300      kx310      kx320      kx330      kx340      kx350 
    __________    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______    _______

    7.4948e+14    0.80895    0.81085    0.80982    0.81134    0.81316    0.81595    0.81877    0.82081     0.8224    0.82157     0.8205    0.81796     0.8158    0.81291    0.81076    0.80748    0.80416    0.79888    0.79337     0.7879    0.78405    0.78337    0.78387    0.79341    0.81287      0.808    0.77626    0.76049    0.75479    0.75756    0.80729    0.77293    0.74945    0.73787    0.72801    0.72061
    7.3932e+14    0.83253    0.83291    0.83239    0.83491    0.83691    0.83848    0.83906      0.838    0.83753    0.83585    0.83547    0.83486    0.83508    0.83422    0.83444    0.83505    0.83793    0.84582    0.86047    0.85047    0.82543    0.81747    0.81014    0.80544    0.80195    0.79893      0.793    0.79366    0.79107    0.78894    0.78922     0.7916    0.81214    0.82683    0.80019     0.7815
    7.2942e+14    0.85617    0.85378    0.85581    0.85713    0.85853    0.85861    0.85814    0.85767     0.8577     0.8603    0.86445     0.8728    0.88519     0.8855    0.87121    0.86268    0.85671    0.85471     0.8533    0.85278    0.85228    0.84881    0.84687    0.84294    0.84148    0.83848    0.83534    0.83541    0.83444    0.83078    0.82761    0.82495    0.82485    0.82665    0.84273    0.87904
    7.1979e+14    0.86695    0.86962    0.86848    0.86725    0.86741    0.87264    0.88943    0.90643    0.90445     0.8985    0.89368    0.88923    0.88632    0.88515    0.88534    0.88499    0.88565    0.88438    0.88293    0.88012    0.87748    0.87647    0.87507    0.87426    0.87163    0.86893    0.86943      0.862    0.85686    0.85641    0.85466    0.85531    0.85487    0.85592    0.85454    0.85297
    7.1041e+14    0.94431    0.93542    0.92305    0.91414    0.90993    0.90624    0.90389    0.90101    0.89939    0.89954    0.89978    0.90121    0.90213    0.90217    0.90057    0.89949     0.8973    0.89608    0.89546    0.89481    0.89416    0.89149    0.88839    0.88592    0.88405    0.88088    0.87605     0.8769    0.87692    0.87123     0.8669    0.86043    0.85422    0.84904     0.8227    0.74535
    7.0127e+14    0.93387    0.93628    0.93634    0.93693    0.93423    0.91555    0.88366    0.87773    0.88566    0.89067    0.89462    0.89658    0.89811    0.89804    0.89899    0.89908    0.89891    0.89842    0.89624    0.89434    0.89239    0.89001    0.88784     0.8846    0.87838    0.87806    0.87148    0.86901    0.86429    0.85842    0.85151     0.7767    0.56929     0.7346    0.81674    0.83319
    6.9236e+14    0.92983     0.9316    0.93186    0.93025    0.92916    0.92979    0.93131    0.93397    0.93518    0.93126    0.90865    0.85871    0.84857    0.86221    0.87319    0.87883    0.88201    0.88348    0.88232      0.881    0.87861    0.87564     0.8759    0.87118    0.86434    0.86209    0.86092    0.83754    0.68444    0.78146    0.83535    0.84891    0.85767    0.86369    0.86471    0.85948
    6.8368e+14    0.93019    0.92935    0.93032    0.92929    0.92851    0.92756    0.92619    0.92553    0.92371    0.92264    0.92197    0.92107    0.91919    0.91682    0.90824     0.8746    0.81041    0.81498    0.83476    0.84729    0.85109    0.85012    0.85551    0.84812    0.82568    0.71962    0.84859    0.85971    0.84971    0.84192    0.83024    0.82502     0.8283    0.84975    0.67779    0.78826

imagesc(kx, y.freq, y{:, 2:end});
colorbar

[Chalisa Mawla]

Epic! This looks exactly like the band structure that my prof asked me to do.