load text file
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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"
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Walter Roberson
am 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 Kommentare
Walter Roberson
am 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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Ora Zyto
am 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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