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extract characters between two commas?
Text processing - join every two lines with commasRemove entire row in a file if first column is repeatedMerging two files, one column at a timeJoin two textfiles on 1st column keeping order and unpairable lines from 1st fileHow to print lines if two fields have identical values?Delete lines that matches a string before commahow to remove comma and strings after a comma in a file?Fastest way to sum Nth column in text fileHow to extract the first row for each entry in the first column?Compare two files and get unmatched rows from the second file based on first and second column
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;
I have a file with ~ 3 million rows, here is the first few lines of my file:
head out.txt
NA
NA
NA
NA
NA
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753,gene85754
gene85752,gene85753,gene85754
gene85752,gene85753,gene85754
gene85752,gene85753,gene85754
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752
gene85752
For those rows that are separated by ",", I want to keep everything after the first comma and before the second comma.
This is my desired output:
outgood.txt
NA
NA
NA
NA
NA
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85752
gene85752
text-processing awk
add a comment |
I have a file with ~ 3 million rows, here is the first few lines of my file:
head out.txt
NA
NA
NA
NA
NA
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753,gene85754
gene85752,gene85753,gene85754
gene85752,gene85753,gene85754
gene85752,gene85753,gene85754
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752
gene85752
For those rows that are separated by ",", I want to keep everything after the first comma and before the second comma.
This is my desired output:
outgood.txt
NA
NA
NA
NA
NA
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85752
gene85752
text-processing awk
add a comment |
I have a file with ~ 3 million rows, here is the first few lines of my file:
head out.txt
NA
NA
NA
NA
NA
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753,gene85754
gene85752,gene85753,gene85754
gene85752,gene85753,gene85754
gene85752,gene85753,gene85754
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752
gene85752
For those rows that are separated by ",", I want to keep everything after the first comma and before the second comma.
This is my desired output:
outgood.txt
NA
NA
NA
NA
NA
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85752
gene85752
text-processing awk
I have a file with ~ 3 million rows, here is the first few lines of my file:
head out.txt
NA
NA
NA
NA
NA
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753,gene85754
gene85752,gene85753,gene85754
gene85752,gene85753,gene85754
gene85752,gene85753,gene85754
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752,gene85753
gene85752
gene85752
For those rows that are separated by ",", I want to keep everything after the first comma and before the second comma.
This is my desired output:
outgood.txt
NA
NA
NA
NA
NA
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85752
gene85752
text-processing awk
text-processing awk
asked 12 hours ago
Anna1364Anna1364
454213
454213
add a comment |
add a comment |
4 Answers
4
active
oldest
votes
Since cut
prints non-delimited lines by default the following works
cut -f2 -d, file
1
It's nice when someone remember the little quirks of standard tools.
– Kusalananda♦
12 hours ago
add a comment |
awk -F, 'NF > 1 $1 = $2 print $1 ' file
This uses awk
to parse the file as lines consisting of comma-delimited fields.
The code detects when there is more than a single field on a line, and when there is, the first field is replaced by the second field. The first field, either unmodified or modified by the conditional code, is then printed.
With a big file, this would probably be faster:awk -F, 'print(NF>1 ? $2 : $1)'
-- since you won't have to rewrite $0
– glenn jackman
10 hours ago
@glennjackman Well, thecut
solution would be even faster in any case.
– Kusalananda♦
10 hours ago
add a comment |
awk -F, 'NF == 1 print $1
NF > 1 print $2' filename
This will print just the first string if there is no comma, second string if there is one or more comma.
add a comment |
You can do this with Perl
as follows.
Command-line:
$ perl -F, -pale '$_ = $F[1] // $_' out.txt
Explanation:
-p
will read records line-by-line AND autoprint before going in to read the next or eof.-l
makesIRS = ORS = "n"
-F,
makesFS
a comma.-a
splits each record$_
on the field separator, in our case a comma, and goes ahead and stores the fields so generated in the array@F
, which is zero-indexed.-e
implies, what follows it is thePerl
code, which shall be gets applied to each record.$_ = $F[1] // $_
expression reads as follows: if the 2nd field$F[1]
isn't defined, use the current record$_
. And then the result of this expression is assigned to the current record$_
.- owing to the
-p
switch ofperl
being in use, before the new record is read in, the current record is taken tostdout
.
Result:
NA
NA
NA
NA
NA
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85752
gene85752
You may also do it with the GNU version of the sed
editor as shown below:
$ sed -ne '
s/,/n/
s/.*n//
s/,/n/
P
' out.txt
add a comment |
Your Answer
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4 Answers
4
active
oldest
votes
4 Answers
4
active
oldest
votes
active
oldest
votes
active
oldest
votes
Since cut
prints non-delimited lines by default the following works
cut -f2 -d, file
1
It's nice when someone remember the little quirks of standard tools.
– Kusalananda♦
12 hours ago
add a comment |
Since cut
prints non-delimited lines by default the following works
cut -f2 -d, file
1
It's nice when someone remember the little quirks of standard tools.
– Kusalananda♦
12 hours ago
add a comment |
Since cut
prints non-delimited lines by default the following works
cut -f2 -d, file
Since cut
prints non-delimited lines by default the following works
cut -f2 -d, file
answered 12 hours ago
iruvariruvar
12.4k63063
12.4k63063
1
It's nice when someone remember the little quirks of standard tools.
– Kusalananda♦
12 hours ago
add a comment |
1
It's nice when someone remember the little quirks of standard tools.
– Kusalananda♦
12 hours ago
1
1
It's nice when someone remember the little quirks of standard tools.
– Kusalananda♦
12 hours ago
It's nice when someone remember the little quirks of standard tools.
– Kusalananda♦
12 hours ago
add a comment |
awk -F, 'NF > 1 $1 = $2 print $1 ' file
This uses awk
to parse the file as lines consisting of comma-delimited fields.
The code detects when there is more than a single field on a line, and when there is, the first field is replaced by the second field. The first field, either unmodified or modified by the conditional code, is then printed.
With a big file, this would probably be faster:awk -F, 'print(NF>1 ? $2 : $1)'
-- since you won't have to rewrite $0
– glenn jackman
10 hours ago
@glennjackman Well, thecut
solution would be even faster in any case.
– Kusalananda♦
10 hours ago
add a comment |
awk -F, 'NF > 1 $1 = $2 print $1 ' file
This uses awk
to parse the file as lines consisting of comma-delimited fields.
The code detects when there is more than a single field on a line, and when there is, the first field is replaced by the second field. The first field, either unmodified or modified by the conditional code, is then printed.
With a big file, this would probably be faster:awk -F, 'print(NF>1 ? $2 : $1)'
-- since you won't have to rewrite $0
– glenn jackman
10 hours ago
@glennjackman Well, thecut
solution would be even faster in any case.
– Kusalananda♦
10 hours ago
add a comment |
awk -F, 'NF > 1 $1 = $2 print $1 ' file
This uses awk
to parse the file as lines consisting of comma-delimited fields.
The code detects when there is more than a single field on a line, and when there is, the first field is replaced by the second field. The first field, either unmodified or modified by the conditional code, is then printed.
awk -F, 'NF > 1 $1 = $2 print $1 ' file
This uses awk
to parse the file as lines consisting of comma-delimited fields.
The code detects when there is more than a single field on a line, and when there is, the first field is replaced by the second field. The first field, either unmodified or modified by the conditional code, is then printed.
answered 12 hours ago
Kusalananda♦Kusalananda
140k17261435
140k17261435
With a big file, this would probably be faster:awk -F, 'print(NF>1 ? $2 : $1)'
-- since you won't have to rewrite $0
– glenn jackman
10 hours ago
@glennjackman Well, thecut
solution would be even faster in any case.
– Kusalananda♦
10 hours ago
add a comment |
With a big file, this would probably be faster:awk -F, 'print(NF>1 ? $2 : $1)'
-- since you won't have to rewrite $0
– glenn jackman
10 hours ago
@glennjackman Well, thecut
solution would be even faster in any case.
– Kusalananda♦
10 hours ago
With a big file, this would probably be faster:
awk -F, 'print(NF>1 ? $2 : $1)'
-- since you won't have to rewrite $0– glenn jackman
10 hours ago
With a big file, this would probably be faster:
awk -F, 'print(NF>1 ? $2 : $1)'
-- since you won't have to rewrite $0– glenn jackman
10 hours ago
@glennjackman Well, the
cut
solution would be even faster in any case.– Kusalananda♦
10 hours ago
@glennjackman Well, the
cut
solution would be even faster in any case.– Kusalananda♦
10 hours ago
add a comment |
awk -F, 'NF == 1 print $1
NF > 1 print $2' filename
This will print just the first string if there is no comma, second string if there is one or more comma.
add a comment |
awk -F, 'NF == 1 print $1
NF > 1 print $2' filename
This will print just the first string if there is no comma, second string if there is one or more comma.
add a comment |
awk -F, 'NF == 1 print $1
NF > 1 print $2' filename
This will print just the first string if there is no comma, second string if there is one or more comma.
awk -F, 'NF == 1 print $1
NF > 1 print $2' filename
This will print just the first string if there is no comma, second string if there is one or more comma.
answered 12 hours ago
unxnutunxnut
3,80721120
3,80721120
add a comment |
add a comment |
You can do this with Perl
as follows.
Command-line:
$ perl -F, -pale '$_ = $F[1] // $_' out.txt
Explanation:
-p
will read records line-by-line AND autoprint before going in to read the next or eof.-l
makesIRS = ORS = "n"
-F,
makesFS
a comma.-a
splits each record$_
on the field separator, in our case a comma, and goes ahead and stores the fields so generated in the array@F
, which is zero-indexed.-e
implies, what follows it is thePerl
code, which shall be gets applied to each record.$_ = $F[1] // $_
expression reads as follows: if the 2nd field$F[1]
isn't defined, use the current record$_
. And then the result of this expression is assigned to the current record$_
.- owing to the
-p
switch ofperl
being in use, before the new record is read in, the current record is taken tostdout
.
Result:
NA
NA
NA
NA
NA
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85752
gene85752
You may also do it with the GNU version of the sed
editor as shown below:
$ sed -ne '
s/,/n/
s/.*n//
s/,/n/
P
' out.txt
add a comment |
You can do this with Perl
as follows.
Command-line:
$ perl -F, -pale '$_ = $F[1] // $_' out.txt
Explanation:
-p
will read records line-by-line AND autoprint before going in to read the next or eof.-l
makesIRS = ORS = "n"
-F,
makesFS
a comma.-a
splits each record$_
on the field separator, in our case a comma, and goes ahead and stores the fields so generated in the array@F
, which is zero-indexed.-e
implies, what follows it is thePerl
code, which shall be gets applied to each record.$_ = $F[1] // $_
expression reads as follows: if the 2nd field$F[1]
isn't defined, use the current record$_
. And then the result of this expression is assigned to the current record$_
.- owing to the
-p
switch ofperl
being in use, before the new record is read in, the current record is taken tostdout
.
Result:
NA
NA
NA
NA
NA
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85752
gene85752
You may also do it with the GNU version of the sed
editor as shown below:
$ sed -ne '
s/,/n/
s/.*n//
s/,/n/
P
' out.txt
add a comment |
You can do this with Perl
as follows.
Command-line:
$ perl -F, -pale '$_ = $F[1] // $_' out.txt
Explanation:
-p
will read records line-by-line AND autoprint before going in to read the next or eof.-l
makesIRS = ORS = "n"
-F,
makesFS
a comma.-a
splits each record$_
on the field separator, in our case a comma, and goes ahead and stores the fields so generated in the array@F
, which is zero-indexed.-e
implies, what follows it is thePerl
code, which shall be gets applied to each record.$_ = $F[1] // $_
expression reads as follows: if the 2nd field$F[1]
isn't defined, use the current record$_
. And then the result of this expression is assigned to the current record$_
.- owing to the
-p
switch ofperl
being in use, before the new record is read in, the current record is taken tostdout
.
Result:
NA
NA
NA
NA
NA
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85752
gene85752
You may also do it with the GNU version of the sed
editor as shown below:
$ sed -ne '
s/,/n/
s/.*n//
s/,/n/
P
' out.txt
You can do this with Perl
as follows.
Command-line:
$ perl -F, -pale '$_ = $F[1] // $_' out.txt
Explanation:
-p
will read records line-by-line AND autoprint before going in to read the next or eof.-l
makesIRS = ORS = "n"
-F,
makesFS
a comma.-a
splits each record$_
on the field separator, in our case a comma, and goes ahead and stores the fields so generated in the array@F
, which is zero-indexed.-e
implies, what follows it is thePerl
code, which shall be gets applied to each record.$_ = $F[1] // $_
expression reads as follows: if the 2nd field$F[1]
isn't defined, use the current record$_
. And then the result of this expression is assigned to the current record$_
.- owing to the
-p
switch ofperl
being in use, before the new record is read in, the current record is taken tostdout
.
Result:
NA
NA
NA
NA
NA
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85753
gene85752
gene85752
You may also do it with the GNU version of the sed
editor as shown below:
$ sed -ne '
s/,/n/
s/.*n//
s/,/n/
P
' out.txt
answered 57 mins ago
Rakesh SharmaRakesh Sharma
262
262
add a comment |
add a comment |
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