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  1. 28 sty 2013 · In some cases you can make use of the CommentStyle parameter to cause textscan() to automatically skip parts of the input. For example, if each of the lines to be skipped started with ';' you could set CommentStyle to ';' and the lines would be skipped.

  2. 18 cze 2014 · One option is to simply just read everything in as floats - use either textscan or if your data is all numeric dlmread or similar might be simpler. Then just remove the lines you don't want:

  3. 7 cze 2017 · How would I have textscan automatically scan the numerical values and ignore all other rows? In addition, I am not interested in scanning the column "value" at all. I only need to scan the two columns "type" and "latency".

  4. 4 lut 2023 · The exact method will depend on which reading routine you are using. textscan() offers a HeaderLines option; some of the other routines offer similar options.

  5. 23 sie 2019 · If you do not have a set number of header lines, but know the content of the last header line, you can read a portion of the file and perform a text match test to find the last header line. Rewind the scan counter and rescan the entire file using textscan(..., 'HeaderLines',LastHeaderLine).

  6. 24 maj 2018 · Also after reading the line, use textscan() to extract numeric values. For example, if you detect a line is valid for processing i.e. contains number then you can use numbers = textscan(line, '%f' ) % line is char array

  7. Example: C = textscan(fileID,formatSpec,'HeaderLines',3,'Delimiter',',') skips the first three lines of the data, and then reads the remaining data, treating commas as a delimiter. Names are not case sensitive.

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