I have a tab-separated file looking like this:
A 1234
A 123245
A 4546
A 1234
B 24234
B 4545
C 1234
C 1234
Output:
A 3
B 2
C 1
Basically I need counts of unique values that belong to the first column, all in one commando with pipelines. As you may see, there can be some duplicates like "A 1234". I had some ideas with awk or cut, but neither of the seem to work. They just print out all unique pairs, while I need count of unique values from the second column considering the value in the first one.
awk -F " "'{print $1}' file.tsv | uniq -c
cut -d' ' -f1,2 file.tsv | sort | uniq -ci
I'd really appreciate your help! Thank you in advance.
With complete awk
solution could you please try following.
awk 'BEGIN{FS=OFS="\t"} !found[$0]++{val[$1]++} END{for(i in val){print i,val[i]}}' Input_file
Explanation: Adding detailed explanation for above.
awk ' ##Starting awk program from here.
BEGIN{
FS=OFS="\t"
}
!found[$0]++{ ##Checking condition if 1st and 2nd column is NOT present in found array then do following.
val[$1]++ ##Creating val with 1st column inex and keep increasing its value here.
}
END{ ##Starting END block of this progra from here.
for(i in val){ ##Traversing through array val here.
print i,val[i] ##Printing i and value of val with index i here.
}
}
' Input_file ##Mentioning Input_file name here.