write double class to .txt file

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ha ha
ha ha il 21 Giu 2018
Modificato: ha ha il 22 Giu 2018
Let' say , I have the data in Matlab with the result is ha=14x3 double.
ha=[ 6.74483465234e+05 1.512013286060e+06 -11.6250
6.74483565235e+05 1.512013586059e+06 -11.1250
6.74483665235e+05 1.512013186059e+06 -11.6150
............................................................]
How can I convert "ha" to the file with extension file name .txt?

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ha ha
ha ha il 21 Giu 2018
Modificato: ha ha il 22 Giu 2018
dlmwrite('output.txt', ha, 'delimiter','\t','newline','pc','precision',13);
where "precision": using a precision of 13 significant digits. https://www.youtube.com/watch?v=PGPBCAPd9Vg&feature=youtu.be
  1 Commento
Walter Roberson
Walter Roberson il 21 Giu 2018
Two steps are not needed. If you already have ha then just the dlmwrite() would be needed.

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Più risposte (1)

Walter Roberson
Walter Roberson il 21 Giu 2018
save YourFileNameGoesHere.txt ha -ascii -double
  3 Commenti
Walter Roberson
Walter Roberson il 21 Giu 2018
Which MATLAB release are you using? And is it possible there was a special character in the file name?
>> ha = rand(14,3)
ha =
0.564311118993862 0.817996881165875 0.4914408954708
0.886208766442231 0.916848547977997 0.586965769028758
0.540386873298003 0.704906196238206 0.382831659385335
0.741939008541082 0.713764731668324 0.220845951876804
0.363907275377093 0.0580101724585301 0.918355702076729
0.638543500573447 0.644690448569641 0.0871660376642051
0.156344591720558 0.930698521135438 0.800057722205667
0.559201781113188 0.449742685010024 0.476716144812095
0.403763678573054 0.849106807977924 0.0535249742035238
0.265807233888716 0.663712003994611 0.554110729632032
0.130106666955534 0.0349694247231292 0.876998654274985
0.343754546565382 0.528773374253961 0.555621900932396
0.800416117923546 0.0481754648350227 0.292102339706884
0.259467705281624 0.717624324039735 0.493149570541529
>> save YourFileNameGoesHere.txt ha -ascii -double
>> !cat YourFileNameGoesHere.txt
5.6431111899386210e-01 8.1799688116587477e-01 4.9144089547079994e-01
8.8620876644223134e-01 9.1684854797799731e-01 5.8696576902875774e-01
5.4038687329800261e-01 7.0490619623820627e-01 3.8283165938533514e-01
7.4193900854108186e-01 7.1376473166832366e-01 2.2084595187680411e-01
3.6390727537709278e-01 5.8010172458530129e-02 9.1835570207672856e-01
6.3854350057344667e-01 6.4469044856964086e-01 8.7166037664205054e-02
1.5634459172055792e-01 9.3069852113543838e-01 8.0005772220566729e-01
5.5920178111318763e-01 4.4974268501002368e-01 4.7671614481209534e-01
4.0376367857305351e-01 8.4910680797792426e-01 5.3524974203523756e-02
2.6580723388871619e-01 6.6371200399461117e-01 5.5411072963203234e-01
1.3010666695553419e-01 3.4969424723129250e-02 8.7699865427498491e-01
3.4375454656538218e-01 5.2877337425396143e-01 5.5562190093239616e-01
8.0041611792354628e-01 4.8175464835022663e-02 2.9210233970688437e-01
2.5946770528162444e-01 7.1762432403973464e-01 4.9314957054152853e-01
ha ha
ha ha il 21 Giu 2018
thank @Walter Roberson

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