How to locate character string in a csv file and skip it
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I'm reading a csv file, however, somewhere in the file, (unknown location, so the row, column for this character), an unrecognizable or non-numeric character string (for example, Fö£a´]=Õê´‡X¼Ð, which is generated by binary to ascii conversion process) will be encountered, so the format specification in textscan cannot be used (because of the unknown location). So I saw the error in the following. Is there any way to use textscan or even csvread to process this kind of csv file, without compromising the speed? Many thanks.
"Mismatch between file and format string.
Trouble reading 'Numeric' field from file (row number 1096608,
field number 110) ==> Fö£a´]=Õê´‡X¼Ð , , , ,$, , , , , , , , ,
, , , , , , , , , , , , , , , \n
Error in LoadDumpDataCSV_V2 (line 53)
dataArray = textscan(fileID, formatSpec, 'Delimiter',
',', 'MultipleDelimsAsOne', false, 'ReturnOnError',
false);
4 Comments
Guillaume
on 17 Jun 2016
If the file starts as binary, why not parse it as such rather than have an expensive binary to text conversion and an expensive parsing afterward?
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