how to get txt data from fig / plot, if there are multiple curves?

Question

Zeynep Ertekin 2023-5-2

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1956809-how-to-get-txt-data-from-fig-plot-if-there-are-multiple-curves

评论： Star Strider 2023-5-3

采纳的回答： Star Strider

X-Ku_intrinsic_parameters_smoothed.fig

How can I save the data in .txt format, if the input is a fig file, with multiple curves?

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Answer 1

Star Strider 2023-5-2

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1956809-how-to-get-txt-data-from-fig-plot-if-there-are-multiple-curves#answer_1227889

编辑：Star Strider 2023-5-2

在 MATLAB Online 中打开

X-Ku_intrinsic_parameters_smoothed.fig

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')

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

{2×5201 double} {2×5201 double} {2×5201 double} {2×5201 double}

DisNm

DisNm = 4×1 cell array

{' \xi''} {'\xi'''} {'\mu'' } {'\mu'''}

Getting the other information from the line objects is similarly striaghtforward, as demonstrated.

.

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Zeynep Ertekin 2023-5-3

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 2023-5-3

在 MATLAB Online 中打开

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 8.002,55.8237670192029,8.002,64.7338964349183,8.002,1.77303275142913,8.002,0.40220011429119 8.004,55.8198372852057,8.004,64.720044580361,8.004,1.7709479151963,8.004,0.401332433411881 8.006,55.8159828917123,8.006,64.7062117238675,8.006,1.76887769789028,8.006,0.40047035565658 8.008,55.8122029064689,8.008,64.6923975827376,8.008,1.7668220220221,8.008,0.399613856012365 8.01,55.8084963993169,8.01,64.6786018790153,8.01,1.76478081083769,8.01,0.398762909782818 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 8.016,55.7978085295763,8.016,64.6373226075229,8.016,1.75874320051662,8.016,0.396243143733955 8.018,55.7943867398426,8.018,64.6235978775512,8.018,1.75675908511039,8.018,0.395414164111571 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9.064,52.8710024605971,9.064,56.3023315232131,9.064,1.56160209397785,9.064,0.331115822105858 9.066,52.8567470664857,9.066,56.281984612986,9.066,1.5616989462942,9.066,0.33126305683254 9.068,52.8424655336421,9.068,56.2616243211378,9.068,1.56179566142964,9.068,0.331410419010354 9.07,52.8281579795294,9.07,56.2412507177214,9.07,1.56189223661204,9.07,0.331557906583839 9.072,52.8138245395385,9.072,56.2208638638986,9.072,1.56198866921477,9.072,0.331705517126466 9.074,52.7994653468486,9.074,56.2004638239887,9.074,1.5620849564948,9.074,0.331853248495463 9.076,52.7850805129856,9.076,56.1800506622822,9.076,1.56218109601468,9.076,0.33200109822792 9.078,52.7706701806746,9.078,56.1596244438406,9.078,1.56227708552615,9.078,0.332149064330224 9.08,52.7562344751786,9.08,56.1391852356173,9.08,1.5623729221843,9.08,0.332297144430413 9.082,52.7417735279305,9.082,56.1187331004476,9.082,1.56246860431565,9.082,0.332445336220189 9.084,52.7272874668706,9.084,56.0982681077294,9.084,1.56256412908988,9.084,0.332593637700484 9.086,52.7127764229663,9.086,56.077790316398,9.086,1.5626594943169,9.086,0.332742046464773 9.088,52.6982405221788,9.088,56.0572997981653,9.088,1.56275469754473,9.088,0.332890560610394 9.09,52.6836798958248,9.09,56.036796616012,9.09,1.56284973677975,9.09,0.333039177696264 9.092,52.6690946901217,9.092,56.016280836222,9.092,1.5629446096209,9.092,0.333187895535957 9.094,52.6544849980855,9.094,55.9957525271166,9.094,1.56303931424191,9.094,0.333336712163145 9.096,52.639850983629,9.096,55.9752117498574,9.096,1.56313384772511,9.096,0.333485625376852 9.098,52.625192763051,9.098,55.9546585751668,9.098,1.56322820843343,9.098,0.333634633238034 9.1,52.6105104661547,9.1,55.9340930668695,9.1,1.56332239433686,9.1,0.333783733341988 9.102,52.5958042313578,9.102,55.9135152959789,9.102,1.5634164031726,9.102,0.333932923687826 9.104,52.5810741812456,9.104,55.8929253243114,9.104,1.56351023310708,9.104,0.334082202265563 9.106,52.5663204551674,9.106,55.8723232212797,9.106,1.56360388164467,9.106,0.334231567021561 9.108,52.5515431731474,9.108,55.8517090545502,9.108,1.563697347774,9.108,0.334381015714825 9.11,52.5367424761644,9.11,55.8310828912654,9.11,1.56379062868655,9.11,0.334530546506357 9.112,52.5219184821472,9.112,55.8104447966471,9.112,1.56388372288347,9.112,0.334680157300681 9.114,52.5070713397581,9.114,55.7897948407626,9.114,1.5639766279055,9.114,0.334829846195134 9.116,52.4922011714661,9.116,55.769133088339,9.116,1.56406934250845,9.116,0.334979610719529 9.118,52.4773081064923,9.118,55.7484596131399,9.118,1.56416186472052,9.118,0.335129449362285 9.12,52.4623922897736,9.12,55.7277744761086,9.12,1.56425419284642,9.12,0.335279360113418 9.122,52.447453832021,9.122,55.7070777502231,9.122,1.56434632460878,9.122,0.33542934084835 9.124,52.4324928722344,9.124,55.6863694989734,9.124,1.5644382589162,9.124,0.335579389577106 9.126,52.4175095479004,9.126,55.6656497953081,9.126,1.56452999381872,9.126,0.335729504449773 9.128,52.4025039966218,9.128,55.64491870653,9.128,1.56462152740278,9.128,0.335879683299936 9.13,52.3874763339991,9.13,55.6241762987047,9.13,1.5647128584751,9.13,0.336029924561444 9.132,52.3724266997306,9.132,55.6034226439806,9.132,1.5648039847074,9.132,0.336180226042416 9.134,52.3573552339803,9.134,55.5826578124979,9.134,1.56489490516105,9.134,0.336330585987525 9.136,52.3422620558413,9.136,55.5618818657822,9.136,1.56498561786429,9.136,0.336481002555956 9.138,52.3271473073401,9.138,55.5410948794306,9.138,1.56507612162386,9.138,0.336631473768648 9.14,52.3120111109456,9.14,55.5202969199891,9.14,1.56516641472263,9.14,0.336781997561047 9.142,52.2968536136905,9.142,55.4994880571903,9.142,1.56525649558171,9.142,0.336932572423393 9.144,52.2816749295453,9.144,55.4786683596758,9.144,1.56534636312426,9.144,0.337083196354797 9.146,52.266475207638,9.146,55.4578379002196,9.146,1.56543601560406,9.146,0.337233867599934 9.148,52.2512545748614,9.148,55.4369967474777,9.148,1.5655254514204,9.148,0.337384584270694 9.15,52.2360131570604,9.15,55.4161449695821,9.15,1.56561466943094,9.15,0.337535344502612 9.152,52.2207510942826,9.152,55.3952826331952,9.152,1.56570366858796,9.152,0.337686146594933 9.154,52.2054685153998,9.154,55.3744098168827,9.154,1.56579244661407,9.154,0.337836988703202 9.156,52.1901655602269,9.156,55.3535265844112,9.156,1.56588100344379,9.156,0.337987869095741 9.158,52.1748423483223,9.158,55.3326330052951,9.158,1.56596933681431,9.158,0.338138785829869 9.16,52.1594990270678,9.16,55.311729153851,9.16,1.56605744605622,9.16,0.338289737510422 9.162,52.1441357211443,9.162,55.2908150984294,9.162,1.56614532970707,9.162,0.33844072190368 9.164,52.1287525661755,9.164,55.2698909140454,9.164,1.56623298615887,9.164,0.338591737921888 9.166,52.1133496937109,9.166,55.2489566606964,9.166,1.56632041517878,9.166,0.338742783076668 9.168,52.0979272405384,9.168,55.2280124185054,9.168,1.56640761470771,9.168,0.338893856194773 9.17,52.0824853337836,9.17,55.2070582566521,9.17,1.56649458451284,9.17,0.339044955579084 9.172,52.0670241087209,9.172,55.1860942450585,9.172,1.56658132276061,9.172,0.339196079265093 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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