Change empty string to "NaS" when reading from a file
2 ビュー (過去 30 日間)
古いコメントを表示
I want to read from a text file which has certain blank string cells in it. However, the character data isn't a numeric value, so I cannot use 'emptyvalue',NaN Is there a similar way for textread to fill blank cells for string with 'NaS'(Not a String)? I have tried many methods to overcome this but I am still lost. I have read that using "%[^ ]" can ignore characters in the box but I get an error when using it. Am I using it the wrong way?
inFile = 'filepath';
% Extracting data from the input file
[a,b,c,d] = textread(inFile,'%*d %*s %*s %*s %*s %*s %*s %*s %f %f %*d %[^ ] %s','headerlines',2,'delimiter','\t','emptyvalue', NaN);
1 件のコメント
Stephen23
2018 年 9 月 27 日
編集済み: Stephen23
2018 年 9 月 27 日
I would recommend following the advice in the MATLAB documentation.
"Am I using it the wrong way?"
You are using very outdated textread, instead of the reccomended textscan.
"However, I don't see any difference in what textscan would do as it still reads the data like textread."
You might not see any difference, but clearly the makers of MATLAB do, because they specifically advise against using it. Legacy functions, like textread, are not recommended for new code or projects.
回答 (1 件)
Bish Erbas
2018 年 9 月 27 日
You can import all data as into a string cell array A and then perform all required conversions.
f = fopen('file.txt');
A = textscan(f,'%s %s %s %s %s %s %s %s %s %s %s %s %s','headerlines',2,'delimiter','\t');
fclose(f);
3 件のコメント
Stephen23
2018 年 9 月 27 日
"Not all the data inside the file is string too. There are some that are numbers."
So change the format string.
Bish Erbas
2018 年 9 月 27 日
Stephen is right. Mine is just a simple example. Replace %s with %d for the columns contain numeric values if you want to save a few lines of post-processing after the import.
参考
カテゴリ
Help Center および File Exchange で Characters and Strings についてさらに検索
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!