- are easier to scan when printed in a list.
- are easier to parse (consistent formats are always better).
- sort correctly into numeric order using a standard sort. Here is an example showing that your new format does not sort correctly:
how to change decimal places after point
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Tanmoyee Bhattacharya
am 22 Mär. 2016
Bearbeitet: Stephen23
am 22 Mär. 2016
I have so many text files named
data_70.000_32.125
data_70.124_32.120
data_74.120_32.123
I have to make them
data_70.0_32.125
data_70.124_32.12
data_74.12_32.123
means where three zero after decimal make it one zero and remaining no zero.
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Stephen23
am 22 Mär. 2016
Bearbeitet: Stephen23
am 22 Mär. 2016
Actually the names with consistent three decimal digits are better, because they:
>> old = {'data_70.000_32.125.csv'; 'data_70.124_32.120.csv'; 'data_70.120_32.123.csv'};
>> sort(old) % correct numeric order
ans =
'data_70.000_32.125.csv'
'data_70.120_32.123.csv'
'data_70.124_32.120.csv'
>> new = {'data_70.0_32.125.csv'; 'data_70.124_32.120.csv'; 'data_70.12_32.123.csv'};
>> sort(new) % your format gives the wrong numeric order.
ans =
'data_70.0_32.125.csv'
'data_70.124_32.120.csv'
'data_70.12_32.123.csv'
Of course you can then use my FEX submission natsortfiles to get them back into the correct order, but why bother when those trailing zeros do the job anyway.
I don't see any good reason to remove those zeros, just disadvantages.
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Azzi Abdelmalek
am 22 Mär. 2016
v={'data_70.000_32.125';'data_70.124_32.120';'data_74.120_32.123'}
w=cell(size(v))
for k=1:numel(v)
a=regexp(v{k},'_','split')
a2=a{2}
a3=a{3}
b2=str2double(regexp(a2,'\d+','match'));
b3=str2double(regexp(a3,'\d+','match'));
w{k}=sprintf('data_%d.%d_%d.%d',[b2 b3]);
end
celldisp(w)
2 Kommentare
Azzi Abdelmalek
am 22 Mär. 2016
Bearbeitet: Azzi Abdelmalek
am 22 Mär. 2016
You can use the dir command to get all your text files located somewhere
s=dir(fullfile('your_folder','*.txt'))
files={s.name}
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