load text file

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Baba
Baba il 3 Nov 2011
I have a text file that is too large to load with the file=load'file.txt' command. it's basically many rows of numbers where each column separated by a space.
1 2 3 1 4 2 1 56 2....
1 4 1 56 2 3 4 2 3 ....
....
Each row contains data from several channels. So for instance data from channel 1 would be 1 2 3 1 4 1, first 3 numbers of every line:
What I'd like to do is to filter and downsample data from each channel.
so basically I'm wondering what command is best to use to pick out specific parts of text file without using "load"
  1 Commento
Fangjun Jiang
Fangjun Jiang il 3 Nov 2011
How large is the file? How many rows and columns?

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Walter Roberson
Walter Roberson il 3 Nov 2011
samplesperchan = 3;
channelnum = 6; %for example
lineformat = [repmat('%*f', 1, samplesperchan*(channelnum-1)), repmat('%f',1,samplesperchan), '%*[^\n]'];
result = textscan(fid, lineformat, 'CollectOutput', 1);
  8 Commenti
Baba
Baba il 3 Nov 2011
I'm getting an error:
??? Error using ==> textscan
Buffer overflow (bufsize = 4095) while reading string from
file (row 1, field 10). Use 'bufsize' option. See HELP
TEXTSCAN.
Error in ==> Untitled5 at 8
result = textscan(fid, lineformat, 'CollectOutput', 1);
and buffsize maximum size is 4095 bytes
is there a workaround that you know of?
Walter Roberson
Walter Roberson il 4 Nov 2011
It sounds as if you might need to use 'bufsize' with a large number -- as large as your longest line.

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Più risposte (1)

Ora Zyto
Ora Zyto il 3 Nov 2011
Depending on the format of your data, TEXTSCAN may be a good option. This is a very flexible function, where you can specify the format of your data programatically.
You could read lines one by one and parse the data directly. If your data is rectangular, you could also try reading it all at once.
Ora

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