I want to get a comma-separated list of all of the values in certain columns (2,4,5) based on the value in column 1 of a tab-delimited file.
I was working with adapting the command below, but instead it is going to give me a list of all the values in the column, not just the one for each person - and I'm not sure how to do that.
awk -F"\t" '{print $2}' $i | sed -z 's/\n/,/g;s/,$/\n/'
This is what I am working with
Bob 24 M apples red
Bob 12 M apples green
Linda 56 F apples red
Linda 102 F bananas yellow
And this is what I would like to get (I want to keep duplicates and the order)
Bob 24,12 M apples,apples red,green
Linda 56,102 F apples,bananas red,yellow
Assumptions:
for duplicate names the gender will always be the same otherwise save the 'last' one seen
One awk idea:
awk '
BEGIN { FS=OFS="\t" }
{ nums[$1] = nums[$1] sep[$1] $2
gender[$1] = $3
fruits[$1] = fruits[$1] sep[$1] $4
colors[$1] = colors[$1] sep[$1] $5
sep[$1] = ","
}
END { # PROCINFO["sorted_in"]="#ind_str_asc" # this line requires GNU awk
for (name in nums)
print name,nums[name],gender[name],fruits[name],colors[name]
}
' input.tsv
This generates:
Bob 24,12 M apples,apples red,green
Linda 56,102 F apples,bananas red,yellow
NOTE: this just happens to display the output in Name order; if ordering (by Name) needs to be guaranteed OP can run the output through sort or if using GNU awk then uncomment the PROCINFO["sorted_in"] line
You never need sed when you're using awk.
Assuming your key values (first fields) are grouped as shown in your example (if not then sort the file first) then without reading the whole file into memory and for any number of input fields (you just have to identify which field numbers don't accumulate values, i.e. fields 1 and 3 in this case) you can do:
$ cat tst.awk
BEGIN { FS=OFS="\t" }
$1 != vals[1] {
if ( NR>1 ) {
prt()
}
delete vals
}
{
for ( i=1; i<=NF; i++ ) {
pre = ( (i in vals) && (i !~ /^[13]$/) ? vals[i] "," : "" )
vals[i] = pre $i
}
}
END { prt() }
function prt( i) {
for ( i=1; i<=NF; i++ ) {
printf "%s%s", vals[i], (i<NF ? OFS : ORS)
}
}
$ awk -f tst.awk file
Bob 24,12 M apples,apples red,green
Linda 56,102 F apples,bananas red,yellow
I have two files:
File 1:
id|name|address|country
1|abc|efg|xyz
2|asd|dfg|uio
File 2(only headers):
id|name|country
Now, I want an output like:
OUTPUT:
id|name|country
1|abc|xyz
2|asd|uio
Basically, I have a user record file(file1) and a header file(file2).Now, I want to extract only those records from (file1) whose columns match with that in the header file.
I want to do this using awk or bash.
I tried using:
awk 'BEGIN { OFS="..."} FNR==NR { a[(FNR"")] = $0; next } { print a[(FNR"")], $0 > "test.txt"}' header.txt file.txt
and have no idea what to do next.
Thank You
Following awk may help you on same.
awk -F"|" 'FNR==NR{for(i=1;i<=NF;i++){a[$i]};next} FNR==1 && FNR!=NR{for(j=1;j<=NF;j++){if($j in a){b[++p]=j}}} {for(o=1;o<=p;o++){printf("%s%s",$b[o],o==p?ORS:OFS)}}' OFS="|" File2 File1
Adding a non-one liner form of solution too now.
awk -F"|" '
FNR==NR{
for(i=1;i<=NF;i++){
a[$i]};
next}
FNR==1 && FNR!=NR{
for(j=1;j<=NF;j++){
if($j in a){ b[++p]=j }}
}
{
for(o=1;o<=p;o++){
printf("%s%s",$b[o],o==p?ORS:OFS)}
}
' OFS="|" File2 File1
Edit by Ed Morton: FWIW here's the same script written with normal indenting/spacing and a couple of more meaningful variable names:
BEGIN { FS=OFS="|" }
NR==FNR {
for (i=1; i<=NF; i++) {
names[$i]
}
next
}
FNR==1 {
for (i=1; i<=NF; i++) {
if ($i in names) {
f[++numFlds] = i
}
}
}
{
for (i=1; i<=numFlds; i++) {
printf "%s%s", $(f[i]), (i<numFlds ? OFS : ORS)
}
}
with (lot's of) unix pipes as Doug McIlroy intended...
$ function p() { sed 1q "$1" | tr '|' '\n' | cat -n | sort -k2; }
$ cut -d'|' -f"$(join -j2 <(p header) <(p file) | sort -k2n | cut -d' ' -f3 | paste -sd,)" file
id|name|country
1|abc|xyz
2|asd|uio
Solution using bash>4:
IFS='|' headers1=($(head -n1 $file1))
IFS='|' headers2=($(head -n1 $file2))
IFS=$'\n'
# find idxes we want to output, ie. mapping of headers1 to headers2
idx=()
for i in $(seq 0 $((${#headers2[#]}-1))); do
for j in $(seq 0 $((${#headers1[#]}-1))); do
if [ "${headers2[$i]}" == "${headers1[$j]}" ]; then
idx+=($j)
break
fi
done
done
# idx=(0 1 3) for example
# simple join output function from https://stackoverflow.com/questions/1527049/join-elements-of-an-array
join_by() { local IFS="$1"; shift; echo "$*"; }
# first line - output headers
join_by '|' "${headers2[#]}"
isfirst=true
while IFS='|' read -a vals; do
# ignore first (header line)
if $isfirst; then
isfirst=false
continue;
fi;
# filter from line only columns with idx indices
tmp=()
for i in ${idx[#]}; do
tmp+=("${vals[$i]}")
done
# join ouptut with '|'
join_by '|' "${tmp[#]}"
done < $file1
This one respects the order of columns in file1, changed the order:
$ cat file1
id|country|name
The awk:
$ awk '
BEGIN { FS=OFS="|" }
NR==1 { # file1
n=split($0,a)
next
}
NR==2 { # file2 header
for(i=1;i<=NF;i++)
b[$i]=i
}
{ # output part
for(i=1;i<=n;i++)
printf "%s%s", $b[a[i]], (i==n?ORS:OFS)
}' file1 file2
id|country|name
1|xyz|abc
2|uio|asd
(Another version using cut for outputing in revisions)
This is similar to RavinderSingh13's solution, in that it first reads the headers from the shorter file, and then decides which columns to keep from the longer file based on the headers on the first line of it.
It however does the output differently. Instead of constructing a string, it shifts the columns to the left if it does not want to include a particular field.
BEGIN { FS = OFS = "|" }
# read headers from first file
NR == FNR { for (i = 1; i <= NF; ++i) header[$i]; next }
# mark fields in second file as "selected" if the header corresponds
# to a header in the first file
FNR == 1 {
for (i = 1; i <= NF; ++i)
select[i] = ($i in header)
}
{
skip = 0
pos = 1
for (i = 1; i <= NF; ++i)
if (!select[i]) { # we don't want this field
++skip
$pos = $(pos + skip) # shift fields left
} else
++pos
NF -= skip # adjust number of fields
print
}
Running this:
$ mawk -f script.awk file2 file1
id|name|country
1|abc|xyz
2|asd|uio
This is related to my previous question that I [asked] (bash command for group by count)
What if I want to generalize this? For instance
The input file is
ABC|1|2
ABC|3|4
BCD|7|2
ABC|5|6
BCD|3|5
The output should be
ABC|9|12
BCD|10|7
The result is calculated by group first column and adding the values of 2nd column, and 3rd column, just like similar to group by command in SQL.
I tried modifying the command provided in the link but failed. I don't know whether I'm making a conceptual error or a silly mistake but all I know is none of the mentioned commands aren't working.
Command used
awk -F "|" '{arr[$1]+=$2} END arr2[$1]+=$5 END {for (i in arr) {print i"|"arr[i]"|"arr2[i]}}' sample
awk -F "|" '{arr[$1]+=$2} END {arr2[$1]+=$5} END {for (i in arr) {print i"|"arr[i]"|"arr2[i]}}' sample
awk -F "|" '{arr[$1]+=$2 arr2[$1]+=$5} END {for (i in arr2) {print i"|"arr[i]"|"arr2[i]}}' sample
Additionally, what if I'm trying here is to limit the use to summing the columns upto 2 only. What if there are n columns and we want to perform operations such as addition in one column and subtraction in other? How can that further be modified?
Example
ABC|1|2|4|......... upto n columns
ABC|4|5|6|......... upto n columns
DEF|1|4|6|......... upto n columns
lets say if sum is needed with first column, average may be for second column, some other operation for third column, etc. How this can be tackled?
For 3 fields (key and 2 data fields):
$ awk '
BEGIN { FS=OFS="|" } # set separators
{
a[$1]+=$2 # sum second field to a hash
b[$1]+=$3 # ... b hash
}
END { # in the end
for(i in a) # loop all
print i,a[i],b[i] # and output
}' file
BCD|10|7
ABC|9|12
More generic solution for n columns using GNU awk:
$ awk '
BEGIN { FS=OFS="|" }
{
for(i=2;i<=NF;i++) # loop all data fields
a[$1][i]+=$i # sum them up to related cells
a[$1][1]=i # set field count to first cell
}
END {
for(i in a) {
for((j=2)&&b="";j<a[i][1];j++) # buffer output
b=b (b==""?"":OFS)a[i][j]
print i,b # output
}
}' file
BCD|10|7
ABC|9|12
Latter only tested for 2 fields (busy at a meeting :).
gawk approach using multidimensional array:
awk 'BEGIN{ FS=OFS="|" }{ a[$1]["f2"]+=$2; a[$1]["f3"]+=$3 }
END{ for(i in a) print i,a[i]["f2"],a[i]["f3"] }' file
a[$1]["f2"]+=$2 - summing up values of the 2nd field (f2 - field 2)
a[$1]["f3"]+=$3 - summing up values of the 3rd field (f3 - field 3)
The output:
ABC|9|12
BCD|10|7
Additional short datamash solution (will give the same output):
datamash -st\| -g1 sum 2 sum 3 <file
-s - sort the input lines
-t\| - field separator
sum 2 sum 3 - sums up values of the 2nd and 3rd fields respectively
awk -F\| '{ array[$1]="";for (i=1;i<=NF;i++) { arr[$1,i]+=$i } } END { for (i in array) { printf "%s",i;for (p=2;p<=NF;p++) { printf "|%s",arr[i,p] } print "\n" } }' filename
We use two arrays, (array and arr) array is a single dimensional array tracking all the first pieces and arr is a multidimensional array keyed on the first piece and then the piece index and so for example arr["ABC",1]=1 and arr["ABC",2]=2. At the end we loop through array and then each field in the data set, we pull out the data from the multidimensional array arr.
This will work in any awk and will retain the input keys order in the output:
$ cat tst.awk
BEGIN { FS=OFS="|" }
!seen[$1]++ { keys[++numKeys] = $1 }
{
for (i=2;i<=NF;i++) {
sum[$1,i] += $i
}
}
END {
for (keyNr=1; keyNr<=numKeys; keyNr++) {
key = keys[keyNr]
printf "%s%s", key, OFS
for (i=2;i<=NF;i++) {
printf "%s%s", sum[key,i], (i<NF?OFS:ORS)
}
}
}
$ awk -f tst.awk file
ABC|9|12
BCD|10|7
I have a tab-separated fileA where the 12th column (starting from 1) contain several comma separated identifiers. Some of them in the same row, however, can occur more than once:
GO:0042302, GO:0042302, GO:0042302
GO:0004386,GO:0005524,GO:0006281, GO:0004386,GO:0005524,GO:0006281
....
....
(some with a white-space after the comma, some where it is not).
I would like to only get the unique identifiers and remove the multiples for each row in the 12th column:
GO:0042302
GO:0004386,GO:0005524,GO:0006281
....
....
Here is what I have so far:
for row in `fileA`
do
cut -f12 $row | sed "s/,/\n/" | sort | uniq | paste fileA - | \
awk 'BEGIN {OFS=FS="\t"}{print $1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11, $13}'
done > out
The idea was to go over each row at a time, cut out the 12th column, replace all commas with newlines and then sort and take uniq to get rid of duplicates, paste it back and print the columns in the right order, skipping the original identifier column.
However, this does not seem to work. Any ideas?
Just for completeness, and because I personally prefer Perl over Awk for this sort of thing, here's a Perl one-liner solution:
perl -F'\t' -le '%u=();#k=split/,/,$F[11];#u{#k}=#k;$F[11]=join",",sort
keys%u;print join"\t",#F'
Explanation:
-F'\t' Loop over input lines, splitting each one into fields at tabs
-l automatically remove newlines from input and append on output
-e get code to execute from the next argument instead of standard input
%u = (); # clear out the hash variable %u
#k = split /,/, $F[11]; # Split 12th field (1st is 0) on comma into array #k
#u{#k} = #k; # Copy the contents of #k into #u as key/value pairs
Because hash keys are unique, that last step means that the keys of %u are now a deduplicated copy of #k.
$F[11] = join ",", sort keys %u; # replace the 12th field with the sorted unique list
print join "\t", #F; # and print out the modified line
If I understand you correctly, then with awk:
awk -F '\t' 'BEGIN { OFS = FS } { delete b; n = split($12, a, /, */); $12 = ""; for(i = 1; i <= n; ++i) { if(!(a[i] in b)) { b[a[i]]; $12 = $12 a[i] "," } } sub(/,$/, "", $12); print }' filename
This works as follows:
BEGIN { OFS = FS } # output FS same as input FS
{
delete b # clear dirty table from last pass
n = split($12, a, /, */) # split 12th field into tokens,
$12 = "" # then clear it out for reassembly
for(i = 1; i <= n; ++i) { # wade through those tokens
if(!(a[i] in b)) { # those that haven't been seen yet:
b[a[i]] # remember that they were seen
$12 = $12 a[i] "," # append to result
}
}
sub(/,$/, "", $12) # remove trailing comma from resulting field
print # print the transformed line
}
The delete b; has been POSIX-conforming for only a short while, so if you're working with an old, old awk and it fails for you, see #MarkReed's comment for another way that ancient awks should accept.
Using field 2 instead of field 12:
$ cat tst.awk
BEGIN{ FS=OFS="\t" }
{
split($2,f,/ *, */)
$2 = ""
delete seen
for (i=1;i in f;i++) {
if ( !seen[f[i]]++ ) {
$2 = $2 (i>1?",":"") f[i]
}
}
print
}
.
$ cat file
a,a,a GO:0042302, GO:0042302, GO:0042302 b,b,b
c,c,c GO:0004386,GO:0005524,GO:0006281, GO:0004386,GO:0005524,GO:0006281 d,d,d
$ awk -f tst.awk file
a,a,a GO:0042302 b,b,b
c,c,c GO:0004386,GO:0005524,GO:0006281 d,d,d
If your awk doesn't support delete seen you can use split("",seen).
Using this awk:
awk -F '\t' -v OFS='\t' '{
delete seen;
split($12, a, /[,; ]+/);
for (i=1; i<=length(a); i++) {
if (!(a[i] in seen)) {
seen[a[i]];
s=sprintf("%s%s,", s, a[i])
}
}
$12=s} 1' file
GO:0042302,
GO:0042302,GO:0004386,GO:0005524,GO:0006281,
In your example data, the comma followed by a space is the delimiter of the 12th field. Every subfield after that is merely a repeat of the first field. The subfields appear to already be in sorted order.
GO:0042302, GO:0042302, GO:0042302
^^^dup1^^^ ^^^dup2^^^
GO:0004386,GO:0005524,GO:0006281, GO:0004386,GO:0005524,GO:0006281
^^^^^^^^^^^^^^^dup1^^^^^^^^^^^^^
Based on that, you could simply keep the first of the subfields and toss the rest:
awk -F"\t" '{sub(/, .*/, "", $12)} 1' fileA
If instead, you can have different sets of repeated subfields, where keys are not sorted like this:
GO:0042302, GO:0042302, GO:0042302, GO:0062122,GO:0055000, GO:0055001, GO:0062122,GO:0055000
GO:0004386,GO:0005524,GO:0006281, GO:0005525, GO:0004386,GO:0005524,GO:0006281
If you were stuck with a default MacOS awk you could introduce a sort/uniq functions in an awk executable script:
#!/usr/bin/awk -f
BEGIN {FS="\t"}
{
c = uniq(a, split($12, a, /, |,/))
sort(a, c)
s = a[1]
for(i=2; i<=c; i++) { s = s "," a[i] }
$2 = s
}
47 # print out the modified line
# take an indexed arr as from split and de-dup it
function uniq(arr, len, i, uarr) {
for(i=len; i>=1; i--) { uarr[arr[i]] }
delete arr
for(k in uarr) { arr[++i] = k }
return( i )
}
# slightly modified from
# http://rosettacode.org/wiki/Sorting_algorithms/Bubble_sort#AWK
function sort(arr, len, haschanged, tmp, i)
{
haschanged = 1
while( haschanged==1 ) {
haschanged = 0
for(i=1; i<=(len-1); i++) {
if( arr[i] > arr[i+1] ) {
tmp = arr[i]
arr[i] = arr[i + 1]
arr[i + 1] = tmp
haschanged = 1
}
}
}
}
If you had GNU-awk, I think you could swap out the sort(a, c) call with asort(a), and drop the bubble-sort local function completely.
I get the following for the 12th field:
GO:0042302,GO:0055000,GO:0055001,GO:0062122
GO:0004386,GO:0005524,GO:0005525,GO:0006281