Read data from .dat file

Hey,
I am trying to read some data from a .dat file, by using the textscan function. The Problem is, that MATLAB outputs me a cell array where the cells contain the whole column of my data and I am not able to adress each element individually, which I will need for further evaluation. Sb knows what I am missing here?
Merry Christmans
Code and files:
datacell = textscan(fid, '%u %u %f64 %f64 %f64','HeaderLines', 1);
Data File:
% track# exppar1[Hz] lcut[dB HL] mlow[CU/dB] mhigh[CU/dB]
1 250.00000000 54.22407002 0.40618241 0.88538138
2 500.00000000 65.67426102 0.35505814 1.03196552
3 1000.00000000 68.89377754 0.33789152 1.14795756
4 2000.00000000 59.92227307 0.36044833 0.99198012
5 4000.00000000 63.79115269 0.39970735 3.14824276
6 6000.00000000 56.08308046 0.46312449 1.20653864
output of datacell{1}
ans =
1
2
3
4
5
6

 采纳的回答

You've given textscan directions to read 5 columns where the first two are %u (integers) and the next three are %f64 (doubles). Considering that you are specifying data types per column, Matlab has to give you each column separately. It's standard to put the columns together into a cell array.
You can access row 5 of column 1 by indexing twice as follows:
datacell{1}(5)
ans =
5
Does this solve your problem? What else are you trying to do with the data?

4 个评论

MATLAB always leaves the columns separate for textscan() unless you specify the CollectOutput option.
Kirby Fears
Kirby Fears 2015-12-24
编辑:Kirby Fears 2015-12-24
Enabling CollectOutput with columns of different datatypes will be even more confusing to work with. It would put the first 2 columns into datacell{1} and the next 3 into datacell{2}.
If you're willing to make each column the same datatype, you can read your data into a double array as follows:
dataArray = textscan(fid, '%n %n %n %n %n',...
'HeaderLines', 1,'CollectOutput',true);
dataArray = dataArray{1};
Thanks was exactly what I was looking for, and didn't expect this cell array + 'regular array' syntax.
I guess I am just going to make some graphs, standard deviation and maybe look for correlation. Nothing fancy :)
Thanks again and a merry Christmas you all!

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