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how to get txt data from fig / plot, if there are multiple curves?
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How can I save the data in .txt format, if the input is a fig file, with multiple curves?
Accepted Answer
Star Strider
on 2 May 2023
Edited: Star Strider
on 2 May 2023
I do not understand what you want to do. Getting the information on the line objects is straightforward —
I = openfig(websave('X-Ku_intrinsic_parameters_smoothed','https://www.mathworks.com/matlabcentral/answers/uploaded_files/1372719/X-Ku_intrinsic_parameters_smoothed.fig'));
Lines = findobj(I, 'Type','line')
for k = 1:numel(Lines)
DisNm{k,:} = Lines(k).DisplayName; % Get 'DisplayName' Properties Of Each Line
XY{k,:} = [Lines(k).XData; Lines(k).YData]; % Data For Each Line
end
XY
DisNm
Getting the other information from the line objects is similarly striaghtforward, as demonstrated.
.
2 Comments
Zeynep Ertekin
on 3 May 2023
Thank you for the answer! As far as I'm concerned you keep it in the cell format, however; I need to save as .txt, which I can not.
Star Strider
on 3 May 2023
My pleasure!
I was not certain what you want to do as stated in your original post.
If you want to save the results as a text file, one option is:
I = openfig(websave('X-Ku_intrinsic_parameters_smoothed','https://www.mathworks.com/matlabcentral/answers/uploaded_files/1372719/X-Ku_intrinsic_parameters_smoothed.fig'));
Lines = findobj(I, 'Type','line')
Lines =
4×1 Line array:
Line ( \xi')
Line (\xi'')
Line (\mu')
Line (\mu'')
for k = 1:numel(Lines)
DisNm{k,:} = Lines(k).DisplayName; % Get 'DisplayName' Properties Of Each Line
XY{k,:} = [Lines(k).XData; Lines(k).YData].'; % Data For Each Line
end
XY
XY = 4×1 cell array
{5201×2 double}
{5201×2 double}
{5201×2 double}
{5201×2 double}
DisNm
DisNm = 4×1 cell array
{' \xi''}
{'\xi'''}
{'\mu'' }
{'\mu'''}
Results = table(XY{1},XY{2},XY{3},XY{4}, 'VariableNames',DisNm)
Results = 5201×4 table
\xi' \xi'' \mu' \mu''
_______________ _______________ _______________ ________________
8 55.828 8 64.748 8 1.7751 8 0.40307
8.002 55.824 8.002 64.734 8.002 1.773 8.002 0.4022
8.004 55.82 8.004 64.72 8.004 1.7709 8.004 0.40133
8.006 55.816 8.006 64.706 8.006 1.7689 8.006 0.40047
8.008 55.812 8.008 64.692 8.008 1.7668 8.008 0.39961
8.01 55.808 8.01 64.679 8.01 1.7648 8.01 0.39876
8.012 55.805 8.012 64.665 8.012 1.7628 8.012 0.39792
8.014 55.801 8.014 64.651 8.014 1.7607 8.014 0.39708
8.016 55.798 8.016 64.637 8.016 1.7587 8.016 0.39624
8.018 55.794 8.018 64.624 8.018 1.7568 8.018 0.39541
8.02 55.791 8.02 64.61 8.02 1.7548 8.02 0.39459
8.022 55.788 8.022 64.596 8.022 1.7528 8.022 0.39377
8.024 55.785 8.024 64.583 8.024 1.7509 8.024 0.39296
8.026 55.781 8.026 64.569 8.026 1.749 8.026 0.39215
8.028 55.778 8.028 64.555 8.028 1.747 8.028 0.39135
8.03 55.775 8.03 64.542 8.03 1.7451 8.03 0.39055
writetable(Results,'Results.txt')
fileread('Results.txt')
ans =
' \xi'_1, \xi'_2,\xi''_1,\xi''_2,\mu'_1,\mu'_2,\mu''_1,\mu''_2
8,55.8277730370173,8,64.7477675690316,8,1.77513228391763,8,0.403073423267415
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8.006,55.8159828917123,8.006,64.7062117238675,8.006,1.76887769789028,8.006,0.40047035565658
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8.012,55.8048624469666,8.012,64.6648243329691,8.012,1.76275398764847,8.012,0.397917492062334
8.014,55.8013001299696,8.014,64.6510646678653,8.014,1.76074147626059,8.014,0.397077578229073
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8.02,55.7910338554066,8.02,64.6098902037775,8.02,1.75478905432101,8.02,0.394590614952904
8.022,55.7877489725361,8.022,64.5961993145756,8.022,1.75283303341712,8.022,0.393772471936245
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8.092,55.7089923913591,8.092,64.1255636106798,8.092,1.69263779586618,8.092,0.368360914719233
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8.1,55.7036383991363,8.1,64.0725757144537,8.1,1.6867097896029,8.1,0.365832314917498
8.102,55.7023915249156,8.102,64.0593464444246,8.102,1.6852560770858,8.102,0.365211477212142
8.104,55.7011798772728,8.104,64.0461238067073,8.104,1.68381355315069,8.104,0.364595122558967
8.106,55.7000027542235,8.106,64.0329075759073,8.106,1.6823821553262,8.106,0.36398323004687
8.108,55.6988594513386,8.108,64.0196975303406,8.108,1.68096182114095,8.108,0.363375779132184
8.11,55.6977492760634,8.11,64.006493446097,8.11,1.67955248775979,8.11,0.362772749052965
8.112,55.6966715356102,8.112,63.9932951095107,8.112,1.67815409357718,8.112,0.362174119245537
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8.154,55.6803505684948,8.154,63.7170783056354,8.154,1.65120766831387,8.154,0.35058373409629
8.156,55.6798197776079,8.156,63.7039528107271,8.156,1.65003476894344,8.156,0.350076859524052
8.158,55.6793066562386,8.158,63.690828295963,8.158,1.64887145350804,8.158,0.34957393280456
8.16,55.6788106091553,8.16,63.67770456367,8.16,1.64771766613558,8.16,0.349074935327735
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8.166,55.6774189777207,8.166,63.638336141943,8.166,1.64431291916117,8.166,0.347601331315673
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8.2,55.6715925586177,8.2,63.4151043661404,8.2,1.62655898146477,8.2,0.339891814739531
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8.25,55.6652464590734,8.25,63.0849959119078,8.25,1.60479978393414,8.25,0.330395734901686
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8.254,55.6646613774356,8.254,63.0584284463112,8.254,1.60326342169719,8.254,0.329724129464012
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9.174,52.0515436977148,9.174,55.1651204522932,9.174,1.56666782849061,9.174,0.339347225666643
9.176,52.0360442352248,9.176,55.1441369512322,9.176,1.56675410070602,9.176,0.339498393217582
9.178,52.0205258529168,9.178,55.1231438148243,9.178,1.56684013859194,9.178,0.339649580073456
9.18,52.0049886880443,9.18,55.1021411150723,9.18,1.56692594072956,9.18,0.339800784769977
9.182,51.9894328648224,9.182,55.0811289185804,9.182,1.56701150645677,9.182,0.339952005606392
9.184,51.9738585215528,9.184,55.0601073012222,9.184,1.56709683516965,9.184,0.340103240858298
9.186,51.9582657939754,9.186,55.039076334695,9.186,1.56718192512926,9.186,0.340254489159634
9.188,51.9426548089832,9.188,55.0180360836821,9.188,1.56726677595725,9.188,0.340405748635021
9.19,51.9270257119788,9.19,54.9969866311149,9.19,1.56735138645308,9.19,0.340557017691026
9.192,51.911378626246,9.192,54.9759280423168,9.192,1.56743575603468,9.192,0.340708295036166
9.194,51.8957136804238,9.194,54.9548603902222,9.194,1.56751988361793,9.194,0.340859578876916
9.196,51.8800310088554,9.196,54.9337837432977,9.196,1.56760376830789,9.196,0.341010867497971
9.198,51.864330759272,9.198,54.9126981815643,9.198,1.56768740974803,9.198,0.34116215963877
9.2,51.8486130523961,9.2,54.8916037700401,9.2,1.56777080689062,9.2,0.341313453553084
9.202,51.8328780181473,9.202,54.8705005856609,9.202,1.56785395881161,9.202,0.341464747742066
9.204,51.8171258049551,9.204,54.849388698538,9.204,1.5679368653291,9.204,0.341616040841473
9.206,51.8013565200381,9.206,54.8282681795099,9.206,1.56801952487876,9.206,0.341767331297888
9.208,51.785570327891,9.208,54.8071391070553,9.208,1.56810193741694,9.208,0.341918617297779
9.21,51.7697673301445,9.21,54.7860015479964,9.21,1.56818410229607,9.21,0.342069897669717
9.212,51.7539476853563,9.212,54.7648555764754,9.212,1.568266018141,9.212,0.342221170707489
9.214,51.7381115107564,9.214,54.7437012642476,9.214,1.56834768543922,9.214,0.342372435168727
9.216,51.7222589440644,9.216,54.72253869017,9.216,1.5684291026555,9.216,0.342523689560039
9.218,51.7063901227666,9.218,54.7013679202792,9.218,1.56851026981894,9.218,0.342674932026057
9.22,51.6905051788781,9.22,54.6801890288043,9.22,1.56859118627472,9.22,0.342826161693665
9.222,51.6746042266022,9.222,54.6590020883596,9.222,1.56867185087322,9.222,0.342977376667477
9.224,51.6586874215864,9.224,54.6378071761574,9.224,1.56875226367265,9.224,0.343128575796072
9.226,51.6427548916545,9.226,54.616604361785,9.226,1.56883242440381,9.226,0.343279757458731
9.228,51.6268067687051,9.228,54.595393721087,9.228,1.5689123314296,9.228,0.34343092058225
9.23,51.6108431718312,9.23,54.5741753239272,9.23,1.56899198592873,9.23,0.343582063247595
9.232,51.5948642520234,9.232,54.5529492476489,9.232,1.56907138585666,9.232,0.343733184474331
9.234,51.5788701323327,9.234,54.5317155639495,9.234,1.56915053242119,9.234,0.343884282694489
9.236,51.5628609487321,9.236,54.5104743413103,9.236,1.56922942386154,9.236,0.344035356427412
9.238,51.5468368291622,9.238,54.4892256626626,9.238,1.56930806002492,9.238,0.344186404772699
T1 = readtable('Results.txt', 'VariableNamingRule','preserve')
T1 = 5201×8 table
\xi'_1 \xi'_2 \xi''_1 \xi''_2 \mu'_1 \mu'_2 \mu''_1 \mu''_2
______ ______ _______ _______ ______ ______ _______ _______
8 55.828 8 64.748 8 1.7751 8 0.40307
8.002 55.824 8.002 64.734 8.002 1.773 8.002 0.4022
8.004 55.82 8.004 64.72 8.004 1.7709 8.004 0.40133
8.006 55.816 8.006 64.706 8.006 1.7689 8.006 0.40047
8.008 55.812 8.008 64.692 8.008 1.7668 8.008 0.39961
8.01 55.808 8.01 64.679 8.01 1.7648 8.01 0.39876
8.012 55.805 8.012 64.665 8.012 1.7628 8.012 0.39792
8.014 55.801 8.014 64.651 8.014 1.7607 8.014 0.39708
8.016 55.798 8.016 64.637 8.016 1.7587 8.016 0.39624
8.018 55.794 8.018 64.624 8.018 1.7568 8.018 0.39541
8.02 55.791 8.02 64.61 8.02 1.7548 8.02 0.39459
8.022 55.788 8.022 64.596 8.022 1.7528 8.022 0.39377
8.024 55.785 8.024 64.583 8.024 1.7509 8.024 0.39296
8.026 55.781 8.026 64.569 8.026 1.749 8.026 0.39215
8.028 55.778 8.028 64.555 8.028 1.747 8.028 0.39135
8.03 55.775 8.03 64.542 8.03 1.7451 8.03 0.39055
That should work in all recent MATLAB releases.
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