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Use of textscan instead of load in a for loop

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Isma_gp
Isma_gp 2018-9-6
回答： Walter Roberson 2018-9-7
Hi,
I'm at the moment loading data using the following code:
data = cell(1,n_sim);
for m_a = 1:n_sim
for m_b = 1:n_seed
data{1,m_a}{m_b} = load(fileList{1,m_a}{m_b}, 'A1:end');
end
end
This takes a long time since there are a lot of files and they are quite big. The resulting data cell is a 1xn_sim cell, and each cell has 1xn_seed cells inside. Each of those i.e. data{1,1} contains a 11000x25 double.
I would like to use textscan to get the same format on my results. The files that I'm reading have 25 columns and 11000 rows. Can I get some help with the scripting of texscan for this case?
Thanks
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Walter Roberson
Walter Roberson 2018-9-7
编辑：Walter Roberson 2018-9-7
It appears that in practice loading from a text file ignores any parameters that do not start with '-' . It would be better to remove the 'A1:end' from the load() in order to reduce confusion. In particular, all of the file will be read in, not just column 1.

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采纳的回答

Walter Roberson
Walter Roberson 2018-9-7
ncol = 25;
fmt = repmat('%f', 1, ncol);
data = cell(1, n_sim);
for m_a = 1:n_sim
data_mb = cell(1, n_seed);
for m_b = 1:n_seed
fid = fopen('fileList{1,m_a}{m_b}', 'rt');
data_mb(m_b) = textscan(fid, fmt, 'CollectOutput', 1); %notice () not {} on output
fclose(fid);
end
data{1,m_a} = data_mb;
end

更多回答（1 个）

Alexander Jensen
Alexander Jensen 2018-9-6
I imagine that the reason why it takes a while is due to the lack of preallocation of memory, I would however do like this (I know it is not using textscan, but why would you? :D )
dims = [11000 25];
data = nan(n_sim, n_seed, dims(1), dims(2));
for m_a = 1:n_sim
for m_b = 1:n_seed
data(m_a,m_b,:,:) = load(fileList{1,m_a}{m_b}, 'A1:end');
end
end

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