write double class to .txt file

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ha ha
ha ha 2018 年 6 月 21 日
編集済み: ha ha 2018 年 6 月 22 日
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?

採用された回答

ha ha
ha ha 2018 年 6 月 21 日
編集済み: ha ha 2018 年 6 月 22 日
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 件のコメント
Walter Roberson
Walter Roberson 2018 年 6 月 21 日
Two steps are not needed. If you already have ha then just the dlmwrite() would be needed.

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その他の回答 (1 件)

Walter Roberson
Walter Roberson 2018 年 6 月 21 日
save YourFileNameGoesHere.txt ha -ascii -double
  3 件のコメント
Walter Roberson
Walter Roberson 2018 年 6 月 21 日
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 2018 年 6 月 21 日
thank @Walter Roberson

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