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

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

Answer 1

[Star Strider]

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.

.

[Zeynep Ertekin]

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]

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
     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
     8.024,55.7845312084537,8.024,64.5825249374757,8.024,1.75089094736177,8.024,0.392959710830837
     8.026,55.7813796611736,8.026,64.5688668028743,8.026,1.74896272215847,8.026,0.392152307664219
     8.028,55.7782934518764,8.028,64.5552246419393,8.028,1.74704828314134,8.028,0.391350238116502
     8.03,55.7752716969699,8.03,64.5415981869301,8.03,1.74514755726705,8.03,0.390553478448055
     8.032,55.7723135306733,8.032,64.5279871735693,8.032,1.74326047015347,8.032,0.389762004828299
     8.034,55.7694180727703,8.034,64.5143913336215,8.034,1.7413869492666,8.034,0.388975793317513
     8.036,55.7665844628355,8.036,64.5008104053413,8.036,1.7395269214976,8.036,0.388194820296121
     8.038,55.7638118446339,8.038,64.487244124175,8.038,1.73768031431973,8.038,0.387419062128174
     8.04,55.7610993568087,8.04,64.4736922305019,8.04,1.73584705529356,8.04,0.386648495408735
     8.042,55.7584461484803,8.042,64.4601544611651,8.042,1.7340270725108,8.042,0.385883096607358
     8.044,55.7558513762197,8.044,64.4466305604728,8.044,1.73222029439785,8.044,0.385122842444616
     8.046,55.7533142028842,8.046,64.4331202670728,8.046,1.7304266494757,8.046,0.384367709584694
     8.048,55.7508337957552,8.048,64.4196233259863,8.048,1.72864606678922,8.048,0.383617674891866
     8.05,55.7484093072126,8.05,64.4061394812452,8.05,1.7268784754051,8.05,0.382872715281337
     8.052,55.7460399252595,8.052,64.3926684780017,8.052,1.72512380492117,8.052,0.382132807819289
     8.054,55.7437248282367,8.054,64.3792100636056,8.054,1.72338198511716,8.054,0.381397929493687
     8.056,55.7414631913416,8.056,64.3657639857556,8.056,1.72165294583101,8.056,0.380668057514413
     8.058,55.7392542057205,8.058,64.352329992762,8.058,1.71993661795568,8.058,0.37994316919503
     8.06,55.7370970622869,8.06,64.3389078362525,8.06,1.71823293162743,8.06,0.379223241652653
     8.062,55.7349909615004,8.062,64.3254972661962,8.062,1.71654181819758,8.062,0.378508252581014
     8.064,55.7329351003282,8.064,64.3120980343228,8.064,1.7148632088647,8.064,0.377798179299134
     8.066,55.7309286926175,8.066,64.2987098958984,8.066,1.71319703513291,8.066,0.377092999415254
     8.068,55.7289709392935,8.068,64.2853326076729,8.068,1.71154322906659,8.068,0.376392690659486
     8.07,55.7270610608393,8.07,64.271965921449,8.07,1.70990172233724,8.07,0.375697230716469
     8.072,55.7251982812304,8.072,64.2586095963779,8.072,1.7082724476204,8.072,0.375006597490938
     8.074,55.7233818229288,8.074,64.2452633903304,8.074,1.70665533767897,8.074,0.374320768851248
     8.076,55.7216109076981,8.076,64.2319270637672,8.076,1.70505032538495,8.076,0.37363972287676
     8.078,55.7198847800028,8.078,64.2186003782699,8.078,1.70345734410512,8.078,0.372963437508588
     8.08,55.7182026776718,8.08,64.2052830913162,8.08,1.70187632738816,8.08,0.372291891017085
     8.082,55.716563836555,8.082,64.1919749714871,8.082,1.70030720883369,8.082,0.371625061645318
     8.084,55.7149675047258,8.084,64.1786757793452,8.084,1.69874992297264,8.084,0.370962927516302
     8.086,55.7134129324695,8.086,64.1653852787858,8.086,1.69720440392848,8.086,0.370305467231447
     8.088,55.7118993825279,8.088,64.152103239423,8.088,1.69567058621033,8.088,0.369652659346684
     8.09,55.7104261151981,8.09,64.1388294283679,8.09,1.69414840514219,8.09,0.369004482263335
     8.092,55.7089923913591,8.092,64.1255636106798,8.092,1.69263779586618,8.092,0.368360914719233
     8.094,55.7075974793406,8.094,64.1123055598728,8.094,1.69113869374269,8.094,0.367721935275767
     8.096,55.7062406626064,8.096,64.0990550455026,8.096,1.68965103427763,8.096,0.367087522921793
     8.098,55.7049212026177,8.098,64.0858118383621,8.098,1.6881747543157,8.098,0.366457656486091
     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
     8.114,55.6956255385885,8.114,63.9801022931642,8.114,1.67676657682023,8.114,0.361579869169873
     8.116,55.6946106072282,8.116,63.9669147840177,8.116,1.6753898757961,8.116,0.36098997850786
     8.118,55.6936260642251,8.118,63.9537323658005,8.118,1.6740239291903,8.118,0.360404426741297
     8.12,55.6926712228451,8.12,63.9405548198702,8.12,1.67266867640865,8.12,0.359823193886768
     8.122,55.6917454247596,8.122,63.9273819326045,8.122,1.6713240564568,8.122,0.35924625942971
     8.124,55.690847997088,8.124,63.9142134910944,8.124,1.66999000873329,8.124,0.358673603546777
     8.126,55.689978274866,8.126,63.901049280772,8.126,1.66866647344432,8.126,0.358105206023538
     8.128,55.6891356079141,8.128,63.8878890925698,8.128,1.66735338998842,8.128,0.357541047073028
     8.13,55.6883193465183,8.13,63.8747327141318,8.13,1.6660506994449,8.13,0.356981106591775
     8.132,55.6875288212905,8.132,63.8615799374238,8.132,1.66475834219455,8.132,0.356425365040195
     8.134,55.6867634042865,8.134,63.8484305549209,8.134,1.66347625898925,8.134,0.355873802331189
     8.136,55.6860224392731,8.136,63.8352843576722,8.136,1.66220439070457,8.136,0.35532639907251
     8.138,55.685305302497,8.138,63.8221411398845,8.138,1.66094267901644,8.138,0.354783135595426
     8.14,55.6846113546053,8.14,63.8090006979473,8.14,1.6596910655353,8.14,0.35424399240037
     8.142,55.6839399657911,8.142,63.7958628253109,8.142,1.65844949198799,8.142,0.353708950007785
     8.144,55.6832905043848,8.144,63.7827273229341,8.144,1.65721790061798,8.144,0.353177989116375
     8.146,55.6826623526867,8.146,63.7695939872792,8.146,1.65599623379239,8.146,0.352651090424843
     8.148,55.6820548966061,8.148,63.7564626151725,8.148,1.65478443424945,8.148,0.352128234693737
     8.15,55.6814675200731,8.15,63.7433330103377,8.15,1.65358244461822,8.15,0.35160940273272
     8.152,55.6808996082982,8.152,63.7302049736027,8.152,1.6523902081899,8.152,0.351094575582465
     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
     8.162,55.6783310312312,8.162,63.6645814215881,8.162,1.64657335159427,8.162,0.348579848328882
     8.164,55.6778673467925,8.164,63.6514586780395,8.164,1.64543845431763,8.164,0.348088653168816
     8.166,55.6774189777207,8.166,63.638336141943,8.166,1.64431291916117,8.166,0.347601331315673
     8.168,55.6769853329752,8.168,63.625213622101,8.168,1.64319669114775,8.168,0.347117864243046
     8.17,55.6765658383956,8.17,63.6120909292804,8.17,1.64208971572953,8.17,0.346638233460908
     8.172,55.6761599355377,8.172,63.598967876198,8.172,1.64099193883885,8.172,0.346162420599285
     8.174,55.6757670479128,8.174,63.585844274261,8.174,1.63990330556408,8.174,0.345690407499205
     8.176,55.6753866074141,8.176,63.572719941134,8.176,1.63882376265974,8.176,0.345222175828894
     8.178,55.6750180682866,8.178,63.5595946878748,8.178,1.63775325628376,8.178,0.344757707416647
     8.18,55.674660855555,8.18,63.5464683302562,8.18,1.63669173292146,8.18,0.344296984385437
     8.182,55.6743144358043,8.182,63.5333406882855,8.182,1.6356391393856,8.182,0.343839988578111
     8.184,55.6739782436052,8.184,63.5202115793363,8.184,1.63459542273631,8.184,0.343386702010321
     8.186,55.673651746125,8.186,63.5070808212622,8.186,1.63356053017924,8.186,0.342937106945101
     8.188,55.673334394116,8.188,63.4939482348127,8.188,1.63253440953122,8.188,0.342491185467225
     8.19,55.6730256562587,8.19,63.4808136405773,8.19,1.63151700827439,8.19,0.342048919894296
     8.192,55.6727249941323,8.192,63.4676768609352,8.192,1.63050827447296,8.192,0.341610292611222
     8.194,55.6724318799097,8.194,63.4545377196628,8.194,1.62950815623481,8.194,0.341175285953796
     8.196,55.6721457819222,8.196,63.441396039314,8.196,1.62851660216984,8.196,0.340743882408788
     8.198,55.6718661815394,8.198,63.4282516475214,8.198,1.62753356096073,8.198,0.340316064379294
     8.2,55.6715925586177,8.2,63.4151043661404,8.2,1.62655898146477,8.2,0.339891814739531
     8.202,55.6713243947597,8.202,63.4019540283189,8.202,1.62559281272843,8.202,0.339471116032655
     8.204,55.6710611778544,8.204,63.3888004568144,8.204,1.62463500411104,8.204,0.33905395095826
     8.206,55.6708024026593,8.206,63.3756434842217,8.206,1.62368550566316,8.206,0.338640302461499
     8.208,55.6705475646304,8.208,63.362482939905,8.208,1.6227442668096,8.208,0.338230153156474
     8.21,55.6702961537521,8.21,63.3493186527485,8.21,1.62181123761547,8.21,0.337823486237539
     8.212,55.6700476774713,8.212,63.3361504584318,8.212,1.62088636842236,8.212,0.337420284547989
     8.214,55.6698016440496,8.214,63.3229781865084,8.214,1.61996960995748,8.214,0.33702053126035
     8.216,55.6695575480117,8.216,63.3098016737931,8.216,1.61906091286801,8.216,0.33662420962537
     8.218,55.6693149200873,8.218,63.2966207551945,8.218,1.61816022785206,8.218,0.336231302459055
     8.22,55.6690732632997,8.22,63.2834352637874,8.22,1.61726750621165,8.22,0.335841793334112
     8.222,55.668832104886,8.222,63.2702450412908,8.222,1.61638269963441,8.222,0.335455665621339
     8.224,55.6685909585794,8.224,63.2570499203866,8.224,1.61550575951696,8.224,0.335072902573302
     8.226,55.668349362677,8.226,63.2438497436233,8.226,1.61463663793984,8.226,0.334693487609911
     8.228,55.6681068260223,8.228,63.2306443507841,8.228,1.6137752865543,8.228,0.33431740452761
     8.23,55.6678629016969,8.23,63.2174335818127,8.23,1.61292165803025,8.23,0.333944636675369
     8.232,55.667617118801,8.232,63.2042172794463,8.232,1.6120757046956,8.232,0.333575167784147
     8.234,55.6673690092284,8.234,63.1909952853312,8.234,1.6112373793585,8.234,0.333208981492135
     8.236,55.6671181309503,8.236,63.1777674443729,8.236,1.61040663502354,8.236,0.332846061739474
     8.238,55.6668640139978,8.238,63.164533600735,8.238,1.60958342465165,8.238,0.332486392184364
     8.24,55.6666062149452,8.24,63.1512935998035,8.24,1.60876770184404,8.24,0.332129956874269
     8.242,55.6663442895515,8.242,63.1380472890887,8.242,1.60795942028926,8.242,0.331776739789348
     8.244,55.6660777900834,8.244,63.1247945147188,8.244,1.60715853346483,8.244,0.331426724964331
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     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.

.