Split rows to multiple line based on comma : one liner solution - awk

I want to split the following format to unique lines
Input:
17:79412041:C:T,CGGATGTCAT
17:79412059:C:G,T
17:79412138:G:A,C
17:79412192:C:G,T,A
Desired output
17:79412041:C:T
17:79412041:C:CGGATGTCAT
17:79412059:C:G
17:79412059:C:T
17:79412138:G:A
17:79412138:G:C
17:79412192:C:G
17:79412192:C:T
17:79412192:C:A
Basically split the input to unique rows or firstID:secondID:thirdID:FourthID. Here multiple row may have firstID:secondID:thirdID may be common and the FourthID is the one it make each raw unique(that was seperated by "," in the input).
Thanks in advance
Shams

awk one-liner
$ awk -F":" '{gsub(/,/,":"); a=$1FS$2FS$3; for(i=4; i<=NF; i++) print a FS $i;}' f1
17:79412041:C:T
17:79412041:C:CGGATGTCAT
17:79412059:C:G
17:79412059:C:T
17:79412138:G:A
17:79412138:G:C
17:79412192:C:G
17:79412192:C:T
17:79412192:C:A
We are first replacing all , with : to keep a common delimiter i.e. :
We are then traversing from 4th field to end and printing each field by prefixing first three fields.

This one-liner here:
$ awk -F':' '{ split($4,a,","); for (i in a) { print $1":"$2":"$3":"a[i] } }' data.txt
Produces:
17:79412041:C:T
17:79412041:C:CGGATGTCAT
17:79412059:C:G
17:79412059:C:T
17:79412138:G:A
17:79412138:G:C
17:79412192:C:G
17:79412192:C:T
17:79412192:C:A
Explanation:
split(string, array, delimiter)
splits the string by the delimiter, and saves the pieces into the array.
The for-in loop simply prints every piece in the array with the first three entries.
The -F':' part defines the top-level delimiter.

another awk, should work for any number of fields
$ awk -F: '{split($NF,a,","); for(i in a) {sub($NF"$",a[i]); print}}' file

Following awk + gsub of it may help you on same too:
awk -F":" '{gsub(",",ORS $1 OFS $2 OFS $3 "&");gsub(/,/,":")} 1' OFS=":" Input_file

This might work for you (GNU sed):
sed 's/^\(\(.*:\)[^:,]*\),/\1\n\2/;P;D' file
Insert a newline and the key for each comma in a line.
An alternative using a loop and syntactic sugar:
sed -r ':a;s/^((.*:)[^:,]*),/\1\n\2/;ta' file

Related

Can I delete a field in awk?

This is test.txt:
0x01,0xDF,0x93,0x65,0xF8
0x01,0xB0,0x01,0x03,0x02,0x00,0x64,0x06,0x01,0xB0
0x01,0xB2,0x00,0x76
If I run
awk -F, 'BEGIN{OFS=","}{$2="";print $0}' test.txt
the result is:
0x01,,0x93,0x65,0xF8
0x01,,0x01,0x03,0x02,0x00,0x64,0x06,0x01,0xB0
0x01,,0x00,0x76
The $2 wasn't deleted, it just became empty.
I hope, when printing $0, that the result is:
0x01,0x93,0x65,0xF8
0x01,0x01,0x03,0x02,0x00,0x64,0x06,0x01,0xB0
0x01,0x00,0x76
All the existing solutions are good though this is actually a tailor made job for cut:
cut -d, -f 1,3- file
0x01,0x93,0x65,0xF8
0x01,0x01,0x03,0x02,0x00,0x64,0x06,0x01,0xB0
0x01,0x00,0x76
If you want to remove 3rd field then use:
cut -d, -f 1,2,4- file
To remove 4th field use:
cut -d, -f 1-3,5- file
I believe simplest would be to use sub function to replace first occurrence of continuous ,,(which are getting created after you made 2nd field NULL) with single ,. But this assumes that you don't have any commas in between field values.
awk 'BEGIN{FS=OFS=","}{$2="";sub(/,,/,",");print $0}' Input_file
2nd solution: OR you could use match function to catch regex from first comma to next comma's occurrence and get before and after line of matched string.
awk '
match($0,/,[^,]*,/){
print substr($0,1,RSTART-1)","substr($0,RSTART+RLENGTH)
}' Input_file
It's a bit heavy-handed, but this moves each field after field 2 down a place, and then changes NF so the unwanted field is not present:
$ awk -F, -v OFS=, '{ for (i = 2; i < NF; i++) $i = $(i+1); NF--; print }' test.txt
0x01,0x93,0x65,0xF8
0x01,0x01,0x03,0x02,0x00,0x64,0x06,0x01
0x01,0x00,0x76
$
Tested with both GNU Awk 4.1.3 and BSD Awk ("awk version 20070501" on macOS Mojave 10.14.6 — don't ask; it frustrates me too, but sometimes employers are not very good at forward thinking). Setting NF may or may not work on older versions of Awk — I was a little surprised it did work, but the surprise was a pleasant one, for a change.
If Awk is not an absolute requirement, and the input is indeed as trivial as in your example, sed might be a simpler solution.
sed 's/,[^,]*//' test.txt
This is especially elegant if you want to remove the second field. A more generic approach to remove, the nth field would require you to put in a regex which matches the first n - 1 followed by the nth, then replace that with just the the first n - 1.
So for n = 4 you'd have
sed 's/\([^,]*,[^,]*,[^,]*,\)[^,]*,/\1/' test.txt
or more generally, if your sed dialect understands braces for specifying repetitions
sed 's/\(\([^,]*,\)\{3\}\)[^,]*,/\1/' test.txt
Some sed dialects allow you to lose all those pesky backslashes with an option like -r or -E but again, this is not universally supported or portable.
In case it's not obvious, [^,] matches a single character which is not (newline or) comma; and \1 recalls the text from first parenthesized match (back reference; \2 recalls the second, etc).
Also, this is completely unsuitable for escaped or quoted fields (though I'm not saying it can't be done). Every comma acts as a field separator, no matter what.
With GNU sed you can add a number modifier to substitute nth match of non-comma characters followed by comma:
sed -E 's/[^,]*,//2' file
Using awk in a regex-free way, with the option to choose which line will be deleted:
awk '{ col = 2; n = split($0,arr,","); line = ""; for (i = 1; i <= n; i++) line = line ( i == col ? "" : ( line == "" ? "" : "," ) arr[i] ); print line }' test.txt
Step by step:
{
col = 2 # defines which column will be deleted
n = split($0,arr,",") # each line is split into an array
# n is the number of elements in the array
line = "" # this will be the new line
for (i = 1; i <= n; i++) # roaming through all elements in the array
line = line ( i == col ? "" : ( line == "" ? "" : "," ) arr[i] )
# appends a comma (except if line is still empty)
# and the current array element to the line (except when on the selected column)
print line # prints line
}
Another solution:
You can just pipe the output to another sed and squeeze the delimiters.
$ awk -F, 'BEGIN{OFS=","}{$2=""}1 ' edward.txt | sed 's/,,/,/g'
0x01,0x93,0x65,0xF8
0x01,0x01,0x03,0x02,0x00,0x64,0x06,0x01,0xB0
0x01,0x00,0x76
$
Commenting on the first solution of #RavinderSingh13 using sub() function:
awk 'BEGIN{FS=OFS=","}{$2="";sub(/,,/,",");print $0}' Input_file
The gnu-awk manual: https://www.gnu.org/software/gawk/manual/html_node/Changing-Fields.html
It is important to note that making an assignment to an existing field changes the value of $0 but does not change the value of NF, even when you assign the empty string to a field." (4.4 Changing the Contents of a Field)
So, following the first solution of RavinderSingh13 but without using, in this case,sub() "The field is still there; it just has an empty value, delimited by the two colons":
awk 'BEGIN {FS=OFS=","} {$2="";print $0}' file
0x01,,0x93,0x65,0xF8
0x01,,0x01,0x03,0x02,0x00,0x64,0x06,0x01,0xB0
0x01,,0x00,0x76
My solution:
awk -F, '
{
regex = "^"$1","$2
sub(regex, $1, $0);
print $0;
}'
or one line code:
awk -F, '{regex="^"$1","$2;sub(regex, $1, $0);print $0;}' test.txt
I found that OFS="," was not necessary
I would do it following way, let file.txt content be:
0x01,0xDF,0x93,0x65,0xF8
0x01,0xB0,0x01,0x03,0x02,0x00,0x64,0x06,0x01,0xB0
0x01,0xB2,0x00,0x76
then
awk 'BEGIN{FS=",";OFS=""}{for(i=2;i<=NF;i+=1){$i="," $i};$2="";print}' file.txt
output
0x01,0x93,0x65,0xF8
0x01,0x01,0x03,0x02,0x00,0x64,0x06,0x01,0xB0
0x01,0x00,0x76
Explanation: I set OFS to nothing (empty string), then for 2nd and following column I add , at start. Finally I set what is now comma and value to nothing. Keep in mind this solution would need rework if you wish to remove 1st column.

Issue with field separator in AWK script

Having a very large file where two lines shown below and having two fields name and revision having colon delimiter. I need to print only the second column.
sam:7.[0:6]
Ram:8.[6:6]_rev[2:4] h_ack[2:6]
vincent:58
I tried this code:
#!/bin/bash
awk -F: '{print $2}'
7.[0
8.[6
58
Output should be:
7.[0:6]
8.[6:6]_rev[2:4] h_ack[2:6]
58
What went wrong in my code.
The problem in your awk expression is that you are splitting on all :.
Instead, you want to split only on the first : from the start.
$ awk -F'^[^:]+:' '{print $2}' file
The regex pattern matches the start of the string ^, any character other than a :, and finally a :.
If you specify field separator as :, it's normal behavior of awk to output this, ex:
7.[0, because you need the other columns after $2.
cut here, better suits the requirement:
cut -d: -f2- file
Could you please try following.
awk '
match($0,/:.*/){
print substr($0,RSTART+1,RLENGTH-1)
}
' Input_file

Change output field seperator on first row

I have a file like this
name|age
Bob|30
Tom|50
Cindy|10
I want the first row to have a different seperator, "^".
awk 'NR==1 { gsub("|","^")1}1' f
But I keep getting
^n^a^m^e^|^a^g^e^
Bob|30
Tom|50
Cindy|10
Desired output is
name^age
Bob|30
Tom|50
Cindy|10
Your code with gsub("|","^") doesn't have special meta character | (used for alternation in regex) escaped hence it will match every position in input.
You may use this awk without involving any regex:
awk 'BEGIN{FS=OFS="|"} FNR==1{OFS="^"; $1=$1; OFS=FS} 1' f
name^age
Bob|30
Tom|50
Cindy|10
Details:
FS="|": Sets FS as |
OFS="^": Sets OFS as ^
$1=$1: Forces awk to reformat each of the fields using OFS
You can also use sed:
sed '1 s/|/^/' ip.txt
1 address for the command, which is first line here
| is not special, because by default sed uses BRE, see this Q&A for BRE vs ERE differences
use s/|/^/g if you can have multiple matches
Like this :
awk -F'|' 'NR==1{print $1,$2;next}1' OFS='^' file
or a mix between anubhava response and mine:
awk -F'|' 'NR==1{$1=$1}1' OFS='^' file
Could you please try following.
awk 'FNR==1{sub(/\|/,"^")} 1' Input_file
Use gsub in place of sub in case of multiple occurrences needs to be changed.
awk 'FNR==1{gsub(/\|/,"^")} 1' Input_file

Grep part of string after symbol and shuffle columns

I would like to take the number after the - sign and put is as column 2 in my matrix. I know how to grep the string but not how to print it after the text string.
in:
1-967764 GGCTGGTCCGATGGTAGTGGGTTATCAGAACT
3-425354 GCATTGGTGGTTCAGTGGTAGAATTCTCGCC
4-376323 GGCTGGTCCGATGGTAGTGGGTTATCAGAAC
5-221398 GGAAGAGCACACGTCTGAACTCCAGTCACGTGAAAATCTCGTATGCCGTCT
6-180339 TCCCTGGTGGTCTAGTGGTTAGGATTCGGCGCT
out:
GGCTGGTCCGATGGTAGTGGGTTATCAGAACT 967764
GCATTGGTGGTTCAGTGGTAGAATTCTCGCC 425354
GGCTGGTCCGATGGTAGTGGGTTATCAGAAC 376323
GGAAGAGCACACGTCTGAACTCCAGTCACGTGAAAATCTCGTATGCCGTCT 221398
TCCCTGGTGGTCTAGTGGTTAGGATTCGGCGCT 180339
awk -F'[[:space:]-]+' '{print $3,$2}' file
Seems like a simple substitution should do the job:
sed -E 's/[0-9]+-([0-9]+)[[:space:]]*(.*)/\2 \1/' file
Capture the parts you're interested in and use them in the replacement.
Alternatively, using awk:
awk 'sub(/^[0-9]+-/, "") { print $2, $1 }' file
Remove the leading digits and - from the start of the line. When this is successful, sub returns true, so the action is performed, printing the second field, followed by the first.
Using regex ( +|-) as field separator:
$ awk -F"( +|-)" '{print $3,$2}' file
GGCTGGTCCGATGGTAGTGGGTTATCAGAACT 967764
GCATTGGTGGTTCAGTGGTAGAATTCTCGCC 425354
GGCTGGTCCGATGGTAGTGGGTTATCAGAAC 376323
GGAAGAGCACACGTCTGAACTCCAGTCACGTGAAAATCTCGTATGCCGTCT 221398
TCCCTGGTGGTCTAGTGGTTAGGATTCGGCGCT 180339
here is another awk
$ awk 'split($1,a,"-") {print $2,a[2]}' file
awk '{sub(/.-/,"");print $2,$1}' file
GGCTGGTCCGATGGTAGTGGGTTATCAGAACT 967764
GCATTGGTGGTTCAGTGGTAGAATTCTCGCC 425354
GGCTGGTCCGATGGTAGTGGGTTATCAGAAC 376323
GGAAGAGCACACGTCTGAACTCCAGTCACGTGAAAATCTCGTATGCCGTCT 221398
TCCCTGGTGGTCTAGTGGTTAGGATTCGGCGCT 180339

How to print fields for repeated key column in one line

I'd like to transform a table in such a way that for duplicated
values in column #2 it would have corresponding values from column #1.
I.e. something like that...
MZ00024296 AC148152.3_FG005
MZ00047079 AC148152.3_FG006
MZ00028122 AC148152.3_FG008
MZ00032922 AC148152.3_FG008
MZ00048218 AC148152.3_FG008
MZ00024680 AC148167.6_FG001
MZ00013456 AC149475.2_FG003
to
AC148152.3_FG005 MZ00024296
AC148152.3_FG006 MZ00047079
AC148152.3_FG008 MZ00028122|MZ00032922|MZ00048218
AC148167.6_FG001 MZ00024680
AC149475.2_FG003 MZ00013456
As I need it to computations in R I tried to use:
x=aggregate(mz_grmz,by=list(mz_grmz[,2]),FUN=paste(mz_grmz[,1],sep="|"))
but it don't work (wrong function)
Error in match.fun(FUN) :
'paste(mz_grmz[, 1], sep = "|")' is not a function, character or symbol
I also remind myself about unstack() function, but it isn't what I need.
I tried to do it using awk, based on my base knowledge I reworked code given here:
site1
#! /bin/sh
for y do
awk -v FS="\t" '{
for (x=1;x<=NR;x++) {
if (NR>2 && x=x+1) {
print $2"\t"x
}
else {print NR}
}
}' $y > $y.2
done
unfortunately it doesn't work, it's only produce enormous file with field #2 and some numbers.
I suppose it is easy task, but it is above my skills right now.
Could somebody give me a hint? Maybe just function to use in aggregate in R.
Thanks
You could do it in awk like this:
awk '
{
if ($2 in a)
a[$2] = a[$2] "|" $1
else
a[$2] = $1
}
END {
for (i in a)
print i, a[i]
}' INFILE > OUTFILE
to keep the output as same as the text in your question (empty lines etc..):
awk '{if($0 &&($2 in a))a[$2]=a[$2]"|"$1;else if ($0) a[$2]=$1;}\
END{for(x in a){print x,a[x];print ""}}' inputFile
test:
kent$ echo "MZ00024296 AC148152.3_FG005
MZ00047079 AC148152.3_FG006
MZ00028122 AC148152.3_FG008
MZ00032922 AC148152.3_FG008
MZ00048218 AC148152.3_FG008
MZ00024680 AC148167.6_FG001
MZ00013456 AC149475.2_FG003"|awk '{if($0 &&($2 in a))a[$2]=a[$2]"|"$1;else if ($0) a[$2]=$1;}END{for(x in a){print x,a[x];print ""}}'
AC149475.2_FG003 MZ00013456
AC148152.3_FG005 MZ00024296
AC148152.3_FG006 MZ00047079
AC148152.3_FG008 MZ00028122|MZ00032922|MZ00048218
AC148167.6_FG001 MZ00024680
This GNU sed solution might work for you:
sed -r '1{h;d};H;${x;s/(\S+)\s+(\S+)/\2\t\1/g;:a;s/(\S+\t)([^\n]*)(\n+)\1([^\n]*)\n*/\1\2|\4\3/;ta;p};d' input_file
Explanation: Use the extended regex option-r to make regex's more readable. Read the whole file into the hold space (HS). Then on end-of-file, switch to the HS and firstly swap and tab separate fields. Then compare the first fields in adjacent lines and if they match, tag the second field from the second record to the first line separated by a |. Repeated until no further adjacent lines have duplicate first fields then print the file out.