Compare table variables with input list and replace missing vars with NA

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I have a set of data attached in output.csv file which I would like to compare with my masterlist in txt file and see if there's anything missing, if there is a variable missing I want to add it and put its points as NA. How do i do that?
Thanks in advance.

Akzeptierte Antwort

NIVEDITA MAJEE am 30 Jun. 2022
You could do it like this:
[~,output] = xlsread('output.csv', 'A:A'); %reading the Names column from output.csv
masterlist = importdata('masterlist.txt'); %reading the data from masterlist.txt
diff = setdiff(masterlist, output); %finding the variables missing in output.csv after comparing it with the variables in masterlist.txt
NA_cell = cell(size(diff)); %creating a cell array with the same dimension as diff array
NA_cell(:) = {'NA'}; % populating it with 'NA'
diff = [diff NA_cell]; %concatenating NA into the diff array
writecell(diff, 'output.csv', 'WriteMode', 'append'); %appending the diff matrix into the output.csv
Hope this solves your issue!

Weitere Antworten (2)

Eric Sofen
Eric Sofen am 30 Jun. 2022
Readtable and outerjoin do the trick (xlsread is discouraged at this point - readtable is preferred). FYI, there's also a join Live Task that you can use in the Live Editor to explore different join options interactively.
t = readtable("",Delimiter=",");
m = readtable("",Delimiter=",", ReadVariableNames=false);
m.Properties.VariableNames(1) = "Names";
ans = 101×2 table
Names Points ________________ ______ {'abc_0_DivA' } 70 {'abc_100_DivD'} NaN {'abc_10_DivA' } 90 {'abc_11_DivA' } 20 {'abc_12_DivA' } 100 {'abc_13_DivA' } 60 {'abc_14_DivA' } 30 {'abc_15_DivA' } 70 {'abc_16_DivA' } 40 {'abc_17_DivA' } 50 {'abc_18_DivA' } 90 {'abc_19_DivA' } 60 {'abc_1_DivA' } 40 {'abc_20_DivA' } 60 {'abc_21_DivA' } 90 {'abc_22_DivA' } 60
  6 Kommentare
RD am 6 Jul. 2022
the function outerjoin is still giving me an issue, I will try to look into the documentation more about the function to figure out if there are any user error's on my part. But for the time being @NIVEDITA MAJEE's solution with setdiff function is working for me.
Thanks for the input.

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per isakson
per isakson am 2 Jul. 2022
This should work with 2017b.
fid = fopen( 'output.csv', 'rt' );
output_csv = textscan( fid, '%s%*f', 'Headerlines',1, 'Delimiter',',' );
[~] = fclose( fid );
fid = fopen( 'masterlist.txt', 'rt' );
masterlist = textscan( fid, '%s' );
[~] = fclose( fid );
lacking = setdiff( masterlist{1}, output_csv{1} );
fid = fopen( 'output.csv', 'a' );
for cac = reshape( lacking, 1,[] )
[~] = fprintf( fid, '%s,%s\r\n', cac{1}, 'NA' );
[~] = fclose( fid );
dbtype output.csv 96:102
96 abc_72_DivC,0 97 abc_73_DivC,0 98 abc_91_DivD,0 99 abc_99_DivD,-40 100 abc_100_DivD,NA 101 abc_44_DivB,NA 102 abc_74_DivC,NA


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