How to convert my .txt file into .mat file?
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Hazel Sialongo
le 24 Sep 2016
Commenté : Walter Roberson
le 25 Sep 2016
This is my .txt file.
Number of times pregnant;"Plasma glucose concentration";"Diastolic blood pressure";"Triceps skin fold thickness";"2-Hour serum insulin";"Body mass index";"Diabetes pedigree function";"Age";"Class variable" 6,148,72,35,0,33.6,0.627,50,1 1,85,66,29,0,26.6,0.351,31,0 8,183,64,0,0,23.3,0.672,32,1 1,89,66,23,94,28.1,0.167,21,0 0,137,40,35,168,43.1,2.288,33,1 5,116,74,0,0,25.6,0.201,30,0 3,78,50,32,88,31.0,0.248,26,1 10,115,0,0,0,35.3,0.134,29,0 2,197,70,45,543,30.5,0.158,53,1 8,125,96,0,0,0.0,0.232,54,1 4,110,92,0,0,37.6,0.191,30,0 10,168,74,0,0,38.0,0.537,34,1 10,139,80,0,0,27.1,1.441,57,0 1,189,60,23,846,30.1,0.398,59,1 5,166,72,19,175,25.8,0.587,51,1 7,100,0,0,0,30.0,0.484,32,1 0,118,84,47,230,45.8,0.551,31,1 7,107,74,0,0,29.6,0.254,31,1 1,103,30,38,83,43.3,0.183,33,0 1,115,70,30,96,34.6,0.529,32,1 3,126,88,41,235,39.3,0.704,27,0 8,99,84,0,0,35.4,0.388,50,0 7,196,90,0,0,39.8,0.451,41,1 9,119,80,35,0,29.0,0.263,29,1 11,143,94,33,146,36.6,0.254,51,1 10,125,70,26,115,31.1,0.205,41,1 7,147,76,0,0,39.4,0.257,43,1 1,97,66,15,140,23.2,0.487,22,0 13,145,82,19,110,22.2,0.245,57,0 5,117,92,0,0,34.1,0.337,38,0 5,109,75,26,0,36.0,0.546,60,0 3,158,76,36,245,31.6,0.851,28,1 3,88,58,11,54,24.8,0.267,22,0 6,92,92,0,0,19.9,0.188,28,0 10,122,78,31,0,27.6,0.512,45,0 4,103,60,33,192,24.0,0.966,33,0 11,138,76,0,0,33.2,0.420,35,0 9,102,76,37,0,32.9,0.665,46,1 2,90,68,42,0,38.2,0.503,27,1 4,111,72,47,207,37.1,1.390,56,1 3,180,64,25,70,34.0,0.271,26,0 7,133,84,0,0,40.2,0.696,37,0 7,106,92,18,0,22.7,0.235,48,0 9,171,110,24,240,45.4,0.721,54,1 7,159,64,0,0,27.4,0.294,40,0 0,180,66,39,0,42.0,1.893,25,1 1,146,56,0,0,29.7,0.564,29,0 2,71,70,27,0,28.0,0.586,22,0 7,103,66,32,0,39.1,0.344,31,1 7,105,0,0,0,0.0,0.305,24,0 1,103,80,11,82,19.4,0.491,22,0 1,101,50,15,36,24.2,0.526,26,0 5,88,66,21,23,24.4,0.342,30,0 8,176,90,34,300,33.7,0.467,58,1 7,150,66,42,342,34.7,0.718,42,0 1,73,50,10,0,23.0,0.248,21,0 7,187,68,39,304,37.7,0.254,41,1 0,100,88,60,110,46.8,0.962,31,0 0,146,82,0,0,40.5,1.781,44,0 0,105,64,41,142,41.5,0.173,22,0 2,84,0,0,0,0.0,0.304,21,0 8,133,72,0,0,32.9,0.270,39,1 5,44,62,0,0,25.0,0.587,36,0 2,141,58,34,128,25.4,0.699,24,0 7,114,66,0,0,32.8,0.258,42,1 5,99,74,27,0,29.0,0.203,32,0 0,109,88,30,0,32.5,0.855,38,1 2,109,92,0,0,42.7,0.845,54,0 1,95,66,13,38,19.6,0.334,25,0 4,146,85,27,100,28.9,0.189,27,0 2,100,66,20,90,32.9,0.867,28,1 5,139,64,35,140,28.6,0.411,26,0 13,126,90,0,0,43.4,0.583,42,1 4,129,86,20,270,35.1,0.231,23,0 1,79,75,30,0,32.0,0.396,22,0 1,0,48,20,0,24.7,0.140,22,0 7,62,78,0,0,32.6,0.391,41,0 5,95,72,33,0,37.7,0.370,27,0 0,131,0,0,0,43.2,0.270,26,1 2,112,66,22,0,25.0,0.307,24,0 3,113,44,13,0,22.4,0.140,22,0 2,74,0,0,0,0.0,0.102,22,0 7,83,78,26,71,29.3,0.767,36,0 0,101,65,28,0,24.6,0.237,22,0 5,137,108,0,0,48.8,0.227,37,1 2,110,74,29,125,32.4,0.698,27,0 13,106,72,54,0,36.6,0.178,45,0 2,100,68,25,71,38.5,0.324,26,0 15,136,70,32,110,37.1,0.153,43,1 1,107,68,19,0,26.5,0.165,24,0 1,80,55,0,0,19.1,0.258,21,0 4,123,80,15,176,32.0,0.443,34,0 7,81,78,40,48,46.7,0.261,42,0 4,134,72,0,0,23.8,0.277,60,1 2,142,82,18,64,24.7,0.761,21,0 6,144,72,27,228,33.9,0.255,40,0 2,92,62,28,0,31.6,0.130,24,0 1,71,48,18,76,20.4,0.323,22,0 6,93,50,30,64,28.7,0.356,23,0 1,122,90,51,220,49.7,0.325,31,1
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Réponse acceptée
Walter Roberson
le 25 Sep 2016
fid = fopen('YourInputFile.txt', 'rt');
header_line = fgetl(fid);
var_names = matlab.lang.makeValidName( regexprep(regexp(S,'[;,]','split'), '"', '') );
line_fmt = repmat('%g', 1, length(var_names));
datacell = textscan(fid, line_fmt, 'CollectOutput', 1, 'Delimiter', ',');
fclose(fid);
your_data = array2table( datacell{1}, 'VariableNames', var_names);
save('YourOutputFile.mat', 'header_line', 'your_data');
The column names used in the table would end up being
NumberOfTimesPregnant, PlasmaGlucoseConcentration, DiastolicBloodPressure, TricepsSkinFoldThickness, x2_HourSerumInsulin, BodyMassIndex, DiabetesPedigreeFunction, Age, ClassVariable
These are somewhat natural except for the x2_HourSerumInsulin, which is the result of automatically processing "2-Hour serum insulin" (double-quotes included) to create a valid MATLAB variable name, as column names for table() objects must be valid variable names.
If you have preferred variable names for the columns, you can replace the assignment to var_names with your preferred names; this code is generalized to build valid names from a header line with comma or semi-colon separator, under the assumption that the data is numeric. (The code will, however, fail if there are duplicate column headers.)
2 commentaires
Walter Roberson
le 25 Sep 2016
var_names = matlab.lang.makeValidName( regexprep(regexp(header_line,'[;,]','split'), '"', '') );
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