awk check for fields in CSV file smeeting certain criteria - awk

I'm trying to write a simple file sanity check script. I have a directory with dozen CSV files containing id,edname,firstname,lastname,suffix,email.
I like to write a awk script to check if first field contain a number and is not empty. and fields number 3,4 & 6 are not empty and that the file contains 6 fields no more no less than 6, if all of this conditions are true nothing happens but if any of these conditions failed, re-name the file to .bad. Here is what i have done so far.
for f in *.csv; do
awk -F, '{ exit (NF ==6 ? 0:1) }' "$f" && echo mv "$f" "${f}.bad"
done

The actual answer, you find e.g. in 6.3.2.2 Comparison Operators of the GNU Awk online doc.:
You can use
x != y True if x is not equal to y
to compare if a field is not empty.
You can use
x ~ y True if the string x matches the regexp denoted by y
to check whether it matches a certain pattern.
Your awk script extended respectively:
{ exit (NF==6 && $1~/[1-9][0-9]*/ && $3!="" && $4!="" && $6!="") ? 0 : 1 }
A small demonstration:
$ cat >good.txt <<'EOF'
1,edname,firstname,lastname,suffix,email
2,edname,firstname,lastname,suffix,email
EOF
$ cat >bad_nr_fields.txt <<'EOF'
> 1,edname,firstname,lastname,suffix
> EOF
$ cat >bad_id.txt <<'EOF'
> A,edname,firstname,lastname,suffix,email
> EOF
$ cat >bad_firstname.txt << 'EOF'
> 1,edname,,lastname,suffix,email
> EOF
$ for FILE in good.txt bad_nr_fields.txt bad_id.txt bad_firstname.txt; do
> echo $FILE":"
> if awk -F, '{ exit (NF==6 && $1~/[1-9][0-9]*/ && $3!="" && $4!="" && $6!="") ? 0 : 1 }' "$FILE"; then echo "good"
> else echo "bad"
> fi
> done
good.txt:
good
bad_nr_fields.txt:
bad
bad_id.txt:
bad
bad_firstname.txt:
bad
$
Of course, I don't know which specific syntax your number for id has to match. In my case, I used the pattern for decimal integers which may not start with '0'. (This excludes number '0' as well.)

Related

include filenames in addition to the rows being filtered with awk

I have the awk command below that is selecting rows in multiple files based on the given criteria. To identify which file the selected rows come from I want to include the filename as part of the rows that are been printed.
awk '{ if($4 > 60*$2 &&$2>10 && $8="genus" && $10 !="unclassified") { print }}' *.tsv > out.txt
$ awk '$4>60*$2 && $2>10 && $8=="genus" && $10!="unclassified" {print FILENAME,$0}' *.tsv > out.txt
Fixed $8="genus" which is assigning the value to $8 instead of conditioning on it. Your output is probably wrong.

Delete file based on condition

I have a directory that contain text file and the files are used for some calculation and it produces four column files
Like:
0.5000 -0.9650 6.6554 3.4228
when column 2 greater than zero and column 3 less than zero then I want to delete that file from folder. I tried script below:
#!bin/sh
for file in /home/dew/*.txt
do
some calulation for producing four column `file1`
if awk '{print ($2 > 0 && $3 < 0)}' file1 | rm -rf $file
done
But it gives some errors
You may use this awk + xargs:
cd /home/dew
awk -v ORS='\0' '$2 > 0 && $3 < 0 {print FILENAME; nextfile}' *.txt |
xargs -0 rm

Filtering using awk returns empty files

I have a similar problem to this question: How to do filtering of multiple files in a directory using awk?
The solution in the answers of the question above does not work for me.
I have tab-delimited txt files (all in folder Observation_by_pracid). For each file, I want to create a new file that only contains rows with a specific value in column $9 (medcodeid). The specific values are to be found in medicalcode_list.txt.
There is no error, however it returns only empty files.
Codelist
medcodeid
2576
3199
Format of input files
patid consid ... medcodeid
500470520002 3062539302 ... 2576
951924020002 3062538414 ... 310803013
503478020002 3061587464 ... 257619018
951924020002 3062537807 ... 55627011
503576720002 3062537720 ... 3199
Desired output
patid consid ... medcodeid
500470520002 3062539302 ... 2576
503576720002 3062537720 ... 3199
My code
mkdir HBA1C_observation_bypracid
awk '
NR==FNR {mlist[$1]; next }
FNR==1 {close(out); out="HBA1C_observation_bypracid/HBA1C_" FILENAME }
($9 in mlist) { print > out }
' PATH/medicalcode_list.txt *.txt
Solution
mkdir HBA1C_observation_bypracid
awk '
BEGIN{ FS=OFS="\t" }
NR==FNR {mlist[$1]; next }
FNR==1 {close(out); out="HBA1C_observation_bypracid/HBA1C_" FILENAME }
($9 in mlist) { print > out }
' PATH/medicalcode_list.txt *.txt
Adding "BEGIN..." solved my problem.
You can join two files on a column using join.
Files must be sorted on the joined column. To perform a numerical sort on a column, use sort this way, where N is the column number:
sort -kN -n FILE
You also need to get ride of the first line (column names) of each files. You can use tail command the way below, where N is the number of line from which you want to output the content (so 2nd line):
tail -n +N
... But still need to display the column values:
head -n 1 FILE
To join two files f1 and f2, on the fields c1 of f1 and c2 of f2, and output fields y of files x:
join -1 c1 -2 c2 f1 f2 -o "x.y, x.y"
Working sample:
head -n 1 input_file
for input_file in *.txt ; do
join -1 1 -2 9 -o "2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9" \
<(tail -n +2 PATH/medicalcode_list.txt | sort -k1 -n) \
<(tail -n +2 "$input_file" | sort -k3 -n)
done
Result (for the input file you gave):
patid consid ... medcodeid
500470520002 3062539302 ... 2576
503576720002 3062537720 ... 3199
Note: the column names arent aligned with the values. Don't know if it's a prerequisite. You can format the display with printf command.
Personally I think it would be simpler to loop over in the shell (understanding that this will reread the code list more than once), with a simpler awk function that you should be able to test and debug. Something like:
for file in *.txt; do
awk 'FNR == NR { mlist[$1] } FNR != NR && ($9 in mlist) { print }' \
PATH/medicalcode_list.txt "$file" > HBA1C_observation_bypracid/HBA1C_"$file"
done
You should be able to start without the redirection to make sure that for a single file, you get the results printed to the terminal that you were expected. If you don't there might be some incorrect assumption about the files.
Another option would be to write a separate awk script that writes the code to hard-code the list in another awk script. Also gives the advantage to check the contents of the variable mlist.
printf 'BEGIN {\n%s\n}\n $9 in mlist { print }' \
"$(awk '{ print "mlist[" $1 "]" }' PATH/medicalcode_list.txt)" > filter.awk
for file in *.txt; do
awk -f filter.awk "$file" > HBA1C_observation_bypracid/HBA1C_"$file"
done

Transpose columns of data table using awk [duplicate]

I have a huge tab-separated file formatted like this
X column1 column2 column3
row1 0 1 2
row2 3 4 5
row3 6 7 8
row4 9 10 11
I would like to transpose it in an efficient way using only bash commands (I could write a ten or so lines Perl script to do that, but it should be slower to execute than the native bash functions). So the output should look like
X row1 row2 row3 row4
column1 0 3 6 9
column2 1 4 7 10
column3 2 5 8 11
I thought of a solution like this
cols=`head -n 1 input | wc -w`
for (( i=1; i <= $cols; i++))
do cut -f $i input | tr $'\n' $'\t' | sed -e "s/\t$/\n/g" >> output
done
But it's slow and doesn't seem the most efficient solution. I've seen a solution for vi in this post, but it's still over-slow. Any thoughts/suggestions/brilliant ideas? :-)
awk '
{
for (i=1; i<=NF; i++) {
a[NR,i] = $i
}
}
NF>p { p = NF }
END {
for(j=1; j<=p; j++) {
str=a[1,j]
for(i=2; i<=NR; i++){
str=str" "a[i,j];
}
print str
}
}' file
output
$ more file
0 1 2
3 4 5
6 7 8
9 10 11
$ ./shell.sh
0 3 6 9
1 4 7 10
2 5 8 11
Performance against Perl solution by Jonathan on a 10000 lines file
$ head -5 file
1 0 1 2
2 3 4 5
3 6 7 8
4 9 10 11
1 0 1 2
$ wc -l < file
10000
$ time perl test.pl file >/dev/null
real 0m0.480s
user 0m0.442s
sys 0m0.026s
$ time awk -f test.awk file >/dev/null
real 0m0.382s
user 0m0.367s
sys 0m0.011s
$ time perl test.pl file >/dev/null
real 0m0.481s
user 0m0.431s
sys 0m0.022s
$ time awk -f test.awk file >/dev/null
real 0m0.390s
user 0m0.370s
sys 0m0.010s
EDIT by Ed Morton (#ghostdog74 feel free to delete if you disapprove).
Maybe this version with some more explicit variable names will help answer some of the questions below and generally clarify what the script is doing. It also uses tabs as the separator which the OP had originally asked for so it'd handle empty fields and it coincidentally pretties-up the output a bit for this particular case.
$ cat tst.awk
BEGIN { FS=OFS="\t" }
{
for (rowNr=1;rowNr<=NF;rowNr++) {
cell[rowNr,NR] = $rowNr
}
maxRows = (NF > maxRows ? NF : maxRows)
maxCols = NR
}
END {
for (rowNr=1;rowNr<=maxRows;rowNr++) {
for (colNr=1;colNr<=maxCols;colNr++) {
printf "%s%s", cell[rowNr,colNr], (colNr < maxCols ? OFS : ORS)
}
}
}
$ awk -f tst.awk file
X row1 row2 row3 row4
column1 0 3 6 9
column2 1 4 7 10
column3 2 5 8 11
The above solutions will work in any awk (except old, broken awk of course - there YMMV).
The above solutions do read the whole file into memory though - if the input files are too large for that then you can do this:
$ cat tst.awk
BEGIN { FS=OFS="\t" }
{ printf "%s%s", (FNR>1 ? OFS : ""), $ARGIND }
ENDFILE {
print ""
if (ARGIND < NF) {
ARGV[ARGC] = FILENAME
ARGC++
}
}
$ awk -f tst.awk file
X row1 row2 row3 row4
column1 0 3 6 9
column2 1 4 7 10
column3 2 5 8 11
which uses almost no memory but reads the input file once per number of fields on a line so it will be much slower than the version that reads the whole file into memory. It also assumes the number of fields is the same on each line and it uses GNU awk for ENDFILE and ARGIND but any awk can do the same with tests on FNR==1 and END.
awk
Gawk version which uses arrays of arrays:
tp(){ awk '{for(i=1;i<=NF;i++)a[i][NR]=$i}END{for(i in a)for(j in a[i])printf"%s"(j==NR?RS:FS),a[i][j]}' "${1+FS=$1}";}
Plain awk version which uses multidimensional arrays (this was about twice as slow in my benchmark):
tp(){ awk '{for(i=1;i<=NF;i++)a[i,NR]=$i}END{for(i=1;i<=NF;i++)for(j=1;j<=NR;j++)printf"%s"(j==NR?RS:FS),a[i,j]}' "${1+FS=$1}";}
macOS comes with a version of Brian Kerningham's nawk from 2007 which doesn't support arrays of arrays.
To use space as a separator without collapsing sequences of multiple spaces, use FS='[ ]'.
rs
rs is a BSD utility which also comes with macOS, but it should be available from package managers on other platforms. It is named after the reshape function in APL.
Use sequences of spaces and tabs as column separator:
rs -T
Use tab as column separator:
rs -c -C -T
Use comma as column separator:
rs -c, -C, -T
-c changes the input column separator and -C changes the output column separator. A lone -c or -C sets the separator to tab. -T transposes rows and columns.
Do not use -t instead of -T, because it automatically selects the number of output columns so that the output lines fill the width of the display (which is 80 characters by default but which can be changed with -w).
When an output column separator is specified using -C, an extra column separator character is added to the end of each row, but you can remove it with sed:
$ seq 4|paste -d, - -|rs -c, -C, -T
1,3,
2,4,
$ seq 4|paste -d, - -|rs -c, -C, -T|sed s/.\$//
1,3
2,4
rs -T determines the number of columns based on the number of columns on the first row, so it produces the wrong result when the first line ends with one or more empty columns:
$ rs -c, -C, -T<<<$'1,\n3,4'
1,3,4,
R
The t function transposes a matrix or dataframe:
Rscript -e 'write.table(t(read.table("stdin",sep=",",quote="",comment.char="")),sep=",",quote=F,col.names=F,row.names=F)'
If you replace Rscript -e with R -e, then it echoes the code that is being run to STDOUT, and it also results in the error ignoring SIGPIPE signal if the R command is followed by a command like head -n1 which exits before it has read the whole STDIN.
quote="" can be removed if the input doesn't contain double quotes or single quotes, and comment.char="" can be removed if the input doesn't contain lines that start with a hash character.
For a big input file, fread and fwrite from data.table are faster than read.table and write.table:
$ seq 1e6|awk 'ORS=NR%1e3?FS:RS'>a
$ time Rscript --no-init-file -e 'write.table(t(read.table("a")),quote=F,col.names=F,row.names=F)'>/dev/null
real 0m1.061s
user 0m0.983s
sys 0m0.074s
$ time Rscript --no-init-file -e 'write.table(t(data.table::fread("a")),quote=F,col.names=F,row.names=F)'>/dev/null
real 0m0.599s
user 0m0.535s
sys 0m0.048s
$ time Rscript --no-init-file -e 'data.table::fwrite(t(data.table::fread("a")),sep=" ",col.names=F)'>t/b
x being coerced from class: matrix to data.table
real 0m0.375s
user 0m0.296s
sys 0m0.073s
jq
tp(){ jq -R .|jq --arg x "${1-$'\t'}" -sr 'map(./$x)|transpose|map(join($x))[]';}
jq -R . prints each input line as a JSON string literal, -s (--slurp) creates an array for the input lines after parsing each line as JSON, and -r (--raw-output) outputs the contents of strings instead of JSON string literals. The / operator is overloaded to split strings.
Ruby
ruby -e'STDIN.map{|x|x.chomp.split(",",-1)}.transpose.each{|x|puts x*","}'
The -1 argument to split disables discarding empty fields at the end:
$ ruby -e'p"a,,".split(",")'
["a"]
$ ruby -e'p"a,,".split(",",-1)'
["a", "", ""]
Function form:
$ tp(){ ruby -e's=ARGV[0];STDIN.map{|x|x.chomp.split(s==" "?/ /:s,-1)}.transpose.each{|x|puts x*s}' -- "${1-$'\t'}";}
$ seq 4|paste -d, - -|tp ,
1,3
2,4
The function above uses s==" "?/ /:s because when the argument to the split function is a single space, it enables awk-like special behavior where strings are split based on contiguous runs of spaces and tabs:
$ ruby -e'p" a \tb ".split(" ",-1)'
["a", "b", ""]
$ ruby -e'p" a \tb ".split(/ /,-1)'
["", "a", "", "\tb", ""]
A Python solution:
python -c "import sys; print('\n'.join(' '.join(c) for c in zip(*(l.split() for l in sys.stdin.readlines() if l.strip()))))" < input > output
The above is based on the following:
import sys
for c in zip(*(l.split() for l in sys.stdin.readlines() if l.strip())):
print(' '.join(c))
This code does assume that every line has the same number of columns (no padding is performed).
Have a look at GNU datamash which can be used like datamash transpose.
A future version will also support cross tabulation (pivot tables)
Here is how you would do it with space separated columns:
datamash transpose -t ' ' < file > transposed_file
the transpose project on sourceforge is a coreutil-like C program for exactly that.
gcc transpose.c -o transpose
./transpose -t input > output #works with stdin, too.
Pure BASH, no additional process. A nice exercise:
declare -a array=( ) # we build a 1-D-array
read -a line < "$1" # read the headline
COLS=${#line[#]} # save number of columns
index=0
while read -a line ; do
for (( COUNTER=0; COUNTER<${#line[#]}; COUNTER++ )); do
array[$index]=${line[$COUNTER]}
((index++))
done
done < "$1"
for (( ROW = 0; ROW < COLS; ROW++ )); do
for (( COUNTER = ROW; COUNTER < ${#array[#]}; COUNTER += COLS )); do
printf "%s\t" ${array[$COUNTER]}
done
printf "\n"
done
GNU datamash is perfectly suited for this problem with only one line of code and potentially arbitrarily large filesize!
datamash -W transpose infile > outfile
There is a purpose built utility for this,
GNU datamash utility
apt install datamash
datamash transpose < yourfile
Taken from this site, https://www.gnu.org/software/datamash/ and http://www.thelinuxrain.com/articles/transposing-rows-and-columns-3-methods
Here is a moderately solid Perl script to do the job. There are many structural analogies with #ghostdog74's awk solution.
#!/bin/perl -w
#
# SO 1729824
use strict;
my(%data); # main storage
my($maxcol) = 0;
my($rownum) = 0;
while (<>)
{
my(#row) = split /\s+/;
my($colnum) = 0;
foreach my $val (#row)
{
$data{$rownum}{$colnum++} = $val;
}
$rownum++;
$maxcol = $colnum if $colnum > $maxcol;
}
my $maxrow = $rownum;
for (my $col = 0; $col < $maxcol; $col++)
{
for (my $row = 0; $row < $maxrow; $row++)
{
printf "%s%s", ($row == 0) ? "" : "\t",
defined $data{$row}{$col} ? $data{$row}{$col} : "";
}
print "\n";
}
With the sample data size, the performance difference between perl and awk was negligible (1 millisecond out of 7 total). With a larger data set (100x100 matrix, entries 6-8 characters each), perl slightly outperformed awk - 0.026s vs 0.042s. Neither is likely to be a problem.
Representative timings for Perl 5.10.1 (32-bit) vs awk (version 20040207 when given '-V') vs gawk 3.1.7 (32-bit) on MacOS X 10.5.8 on a file containing 10,000 lines with 5 columns per line:
Osiris JL: time gawk -f tr.awk xxx > /dev/null
real 0m0.367s
user 0m0.279s
sys 0m0.085s
Osiris JL: time perl -f transpose.pl xxx > /dev/null
real 0m0.138s
user 0m0.128s
sys 0m0.008s
Osiris JL: time awk -f tr.awk xxx > /dev/null
real 0m1.891s
user 0m0.924s
sys 0m0.961s
Osiris-2 JL:
Note that gawk is vastly faster than awk on this machine, but still slower than perl. Clearly, your mileage will vary.
Assuming all your rows have the same number of fields, this awk program solves the problem:
{for (f=1;f<=NF;f++) col[f] = col[f]":"$f} END {for (f=1;f<=NF;f++) print col[f]}
In words, as you loop over the rows, for every field f grow a ':'-separated string col[f] containing the elements of that field. After you are done with all the rows, print each one of those strings in a separate line. You can then substitute ':' for the separator you want (say, a space) by piping the output through tr ':' ' '.
Example:
$ echo "1 2 3\n4 5 6"
1 2 3
4 5 6
$ echo "1 2 3\n4 5 6" | awk '{for (f=1;f<=NF;f++) col[f] = col[f]":"$f} END {for (f=1;f<=NF;f++) print col[f]}' | tr ':' ' '
1 4
2 5
3 6
If you have sc installed, you can do:
psc -r < inputfile | sc -W% - > outputfile
I normally use this little awk snippet for this requirement:
awk '{for (i=1; i<=NF; i++) a[i,NR]=$i
max=(max<NF?NF:max)}
END {for (i=1; i<=max; i++)
{for (j=1; j<=NR; j++)
printf "%s%s", a[i,j], (j==NR?RS:FS)
}
}' file
This just loads all the data into a bidimensional array a[line,column] and then prints it back as a[column,line], so that it transposes the given input.
This needs to keep track of the maximum amount of columns the initial file has, so that it is used as the number of rows to print back.
A hackish perl solution can be like this. It's nice because it doesn't load all the file in memory, prints intermediate temp files, and then uses the all-wonderful paste
#!/usr/bin/perl
use warnings;
use strict;
my $counter;
open INPUT, "<$ARGV[0]" or die ("Unable to open input file!");
while (my $line = <INPUT>) {
chomp $line;
my #array = split ("\t",$line);
open OUTPUT, ">temp$." or die ("unable to open output file!");
print OUTPUT join ("\n",#array);
close OUTPUT;
$counter=$.;
}
close INPUT;
# paste files together
my $execute = "paste ";
foreach (1..$counter) {
$execute.="temp$counter ";
}
$execute.="> $ARGV[1]";
system $execute;
The only improvement I can see to your own example is using awk which will reduce the number of processes that are run and the amount of data that is piped between them:
/bin/rm output 2> /dev/null
cols=`head -n 1 input | wc -w`
for (( i=1; i <= $cols; i++))
do
awk '{printf ("%s%s", tab, $'$i'); tab="\t"} END {print ""}' input
done >> output
Some *nix standard util one-liners, no temp files needed. NB: the OP wanted an efficient fix, (i.e. faster), and the top answers are usually faster than this answer. These one-liners are for those who like *nix software tools, for whatever reasons. In rare cases, (e.g. scarce IO & memory), these snippets can actually be faster than some of the top answers.
Call the input file foo.
If we know foo has four columns:
for f in 1 2 3 4 ; do cut -d ' ' -f $f foo | xargs echo ; done
If we don't know how many columns foo has:
n=$(head -n 1 foo | wc -w)
for f in $(seq 1 $n) ; do cut -d ' ' -f $f foo | xargs echo ; done
xargs has a size limit and therefore would make incomplete work with a long file. What size limit is system dependent, e.g.:
{ timeout '.01' xargs --show-limits ; } 2>&1 | grep Max
Maximum length of command we could actually use: 2088944
tr & echo:
for f in 1 2 3 4; do cut -d ' ' -f $f foo | tr '\n\ ' ' ; echo; done
...or if the # of columns are unknown:
n=$(head -n 1 foo | wc -w)
for f in $(seq 1 $n); do
cut -d ' ' -f $f foo | tr '\n' ' ' ; echo
done
Using set, which like xargs, has similar command line size based limitations:
for f in 1 2 3 4 ; do set - $(cut -d ' ' -f $f foo) ; echo $# ; done
I used fgm's solution (thanks fgm!), but needed to eliminate the tab characters at the end of each row, so modified the script thus:
#!/bin/bash
declare -a array=( ) # we build a 1-D-array
read -a line < "$1" # read the headline
COLS=${#line[#]} # save number of columns
index=0
while read -a line; do
for (( COUNTER=0; COUNTER<${#line[#]}; COUNTER++ )); do
array[$index]=${line[$COUNTER]}
((index++))
done
done < "$1"
for (( ROW = 0; ROW < COLS; ROW++ )); do
for (( COUNTER = ROW; COUNTER < ${#array[#]}; COUNTER += COLS )); do
printf "%s" ${array[$COUNTER]}
if [ $COUNTER -lt $(( ${#array[#]} - $COLS )) ]
then
printf "\t"
fi
done
printf "\n"
done
I was just looking for similar bash tranpose but with support for padding. Here is the script I wrote based on fgm's solution, that seem to work. If it can be of help...
#!/bin/bash
declare -a array=( ) # we build a 1-D-array
declare -a ncols=( ) # we build a 1-D-array containing number of elements of each row
SEPARATOR="\t";
PADDING="";
MAXROWS=0;
index=0
indexCol=0
while read -a line; do
ncols[$indexCol]=${#line[#]};
((indexCol++))
if [ ${#line[#]} -gt ${MAXROWS} ]
then
MAXROWS=${#line[#]}
fi
for (( COUNTER=0; COUNTER<${#line[#]}; COUNTER++ )); do
array[$index]=${line[$COUNTER]}
((index++))
done
done < "$1"
for (( ROW = 0; ROW < MAXROWS; ROW++ )); do
COUNTER=$ROW;
for (( indexCol=0; indexCol < ${#ncols[#]}; indexCol++ )); do
if [ $ROW -ge ${ncols[indexCol]} ]
then
printf $PADDING
else
printf "%s" ${array[$COUNTER]}
fi
if [ $((indexCol+1)) -lt ${#ncols[#]} ]
then
printf $SEPARATOR
fi
COUNTER=$(( COUNTER + ncols[indexCol] ))
done
printf "\n"
done
I was looking for a solution to transpose any kind of matrix (nxn or mxn) with any kind of data (numbers or data) and got the following solution:
Row2Trans=number1
Col2Trans=number2
for ((i=1; $i <= Line2Trans; i++));do
for ((j=1; $j <=Col2Trans ; j++));do
awk -v var1="$i" -v var2="$j" 'BEGIN { FS = "," } ; NR==var1 {print $((var2)) }' $ARCHIVO >> Column_$i
done
done
paste -d',' `ls -mv Column_* | sed 's/,//g'` >> $ARCHIVO
If you only want to grab a single (comma delimited) line $N out of a file and turn it into a column:
head -$N file | tail -1 | tr ',' '\n'
Not very elegant, but this "single-line" command solves the problem quickly:
cols=4; for((i=1;i<=$cols;i++)); do \
awk '{print $'$i'}' input | tr '\n' ' '; echo; \
done
Here cols is the number of columns, where you can replace 4 by head -n 1 input | wc -w.
Another awk solution and limited input with the size of memory you have.
awk '{ for (i=1; i<=NF; i++) RtoC[i]= (RtoC[i]? RtoC[i] FS $i: $i) }
END{ for (i in RtoC) print RtoC[i] }' infile
This joins each same filed number positon into together and in END prints the result that would be first row in first column, second row in second column, etc.
Will output:
X row1 row2 row3 row4
column1 0 3 6 9
column2 1 4 7 10
column3 2 5 8 11
#!/bin/bash
aline="$(head -n 1 file.txt)"
set -- $aline
colNum=$#
#set -x
while read line; do
set -- $line
for i in $(seq $colNum); do
eval col$i="\"\$col$i \$$i\""
done
done < file.txt
for i in $(seq $colNum); do
eval echo \${col$i}
done
another version with set eval
Here is a Bash one-liner that is based on simply converting each line to a column and paste-ing them together:
echo '' > tmp1; \
cat m.txt | while read l ; \
do paste tmp1 <(echo $l | tr -s ' ' \\n) > tmp2; \
cp tmp2 tmp1; \
done; \
cat tmp1
m.txt:
0 1 2
4 5 6
7 8 9
10 11 12
creates tmp1 file so it's not empty.
reads each line and transforms it into a column using tr
pastes the new column to the tmp1 file
copies result back into tmp1.
PS: I really wanted to use io-descriptors but couldn't get them to work.
Another bash variant
$ cat file
XXXX col1 col2 col3
row1 0 1 2
row2 3 4 5
row3 6 7 8
row4 9 10 11
Script
#!/bin/bash
I=0
while read line; do
i=0
for item in $line; { printf -v A$I[$i] $item; ((i++)); }
((I++))
done < file
indexes=$(seq 0 $i)
for i in $indexes; {
J=0
while ((J<I)); do
arr="A$J[$i]"
printf "${!arr}\t"
((J++))
done
echo
}
Output
$ ./test
XXXX row1 row2 row3 row4
col1 0 3 6 9
col2 1 4 7 10
col3 2 5 8 11
I'm a little late to the game but how about this:
cat table.tsv | python -c "import pandas as pd, sys; pd.read_csv(sys.stdin, sep='\t').T.to_csv(sys.stdout, sep='\t')"
or zcat if it's gzipped.
This is assuming you have pandas installed in your version of python
Here's a Haskell solution. When compiled with -O2, it runs slightly faster than ghostdog's awk and slightly slower than Stephan's thinly wrapped c python on my machine for repeated "Hello world" input lines. Unfortunately GHC's support for passing command line code is non-existent as far as I can tell, so you will have to write it to a file yourself. It will truncate the rows to the length of the shortest row.
transpose :: [[a]] -> [[a]]
transpose = foldr (zipWith (:)) (repeat [])
main :: IO ()
main = interact $ unlines . map unwords . transpose . map words . lines
An awk solution that store the whole array in memory
awk '$0!~/^$/{ i++;
split($0,arr,FS);
for (j in arr) {
out[i,j]=arr[j];
if (maxr<j){ maxr=j} # max number of output rows.
}
}
END {
maxc=i # max number of output columns.
for (j=1; j<=maxr; j++) {
for (i=1; i<=maxc; i++) {
printf( "%s:", out[i,j])
}
printf( "%s\n","" )
}
}' infile
But we may "walk" the file as many times as output rows are needed:
#!/bin/bash
maxf="$(awk '{if (mf<NF); mf=NF}; END{print mf}' infile)"
rowcount=maxf
for (( i=1; i<=rowcount; i++ )); do
awk -v i="$i" -F " " '{printf("%s\t ", $i)}' infile
echo
done
Which (for a low count of output rows is faster than the previous code).
A oneliner using R...
cat file | Rscript -e "d <- read.table(file('stdin'), sep=' ', row.names=1, header=T); write.table(t(d), file=stdout(), quote=F, col.names=NA) "
I've used below two scripts to do similar operations before. The first is in awk which is a lot faster than the second which is in "pure" bash. You might be able to adapt it to your own application.
awk '
{
for (i = 1; i <= NF; i++) {
s[i] = s[i]?s[i] FS $i:$i
}
}
END {
for (i in s) {
print s[i]
}
}' file.txt
declare -a arr
while IFS= read -r line
do
i=0
for word in $line
do
[[ ${arr[$i]} ]] && arr[$i]="${arr[$i]} $word" || arr[$i]=$word
((i++))
done
done < file.txt
for ((i=0; i < ${#arr[#]}; i++))
do
echo ${arr[i]}
done
Simple 4 line answer, keep it readable.
col="$(head -1 file.txt | wc -w)"
for i in $(seq 1 $col); do
awk '{ print $'$i' }' file.txt | paste -s -d "\t"
done

How to Field Separate and append text using awk

Experts,
I have the following text in an xml files ( there will 20,000 rows in file).
<record record_no = "1" error_code="101">"21006041";"28006041";"34006211";"43";"101210-0001"
Here is how I need the result for each row to be and append to new file.
"21006041";"28006041";"34006211";"43";"101210-0001";101
Here is what I need to do to get the above result.
I replaced " with "
remove <record record_no = "1" error_code="
Get the text 101 ( it can have any value in this position)
append to the last.
Here is what I have been trying.
BEGIN { FS=OFS=";" }
/<record/ {
gsub(/"/,"\"")
gsub(/&apos;/,"")
gsub(/.*="|">.*/,"",$1)
$(NF+1)=$1;
$1="";
print $0;
}
This should do the trick.
awk -F'">' -v OFS=';' '{gsub(/<record record_no = \"[0-9]+\" error_code="/,""); gsub(/"/,"\""); print $2,$1}'
The strategy is to:
split the string at closing chars of the xml element ">
remove the first bit of the xml element including the attribute names leaving only the error code.
replace all " xml entities with ".
print the two FS sections in reverse order.
Test it out with the following data generation script. The script will generate 500x20000 line files with records of random length, some with dashes in the values.
#!/bin/bash
recCount=0
for h in {1..500};
do
for i in {1..20000};
do
((recCount++))
error=$(( RANDOM % 998 + 1 ))
record="<record record_no = "'"'"${recCount}"'"'" error_code="'"'"${error}"'"'">"
upperBound=$(( RANDOM % 4 + 5 ))
for (( k=0; k<${upperBound}; k++ ));
do
randomVal=$(( RANDOM % 99999999 + 1))
record+=""${randomVal}"
if [[ $((RANDOM % 4)) == 0 ]];
then
randomVal=$(( RANDOM % 99999999 + 1))
record+="-${randomVal}"
fi
record+="""
if [[ $k != $(( ${upperBound} - 1 )) ]];
then
record+=";"
fi
done;
echo "${record}" >> "file-${h}.txt"
done;
done;
On my laptop I get the following performance.
$ time cat file-*.txt | awk -F'">' -v OFS=';' '{gsub(/<record record_no = \"[0-9]+\" error_code="/,""); gsub(/"/,"\""); print $2,$1}' > result
real 0m18.985s
user 0m17.673s
sys 0m2.697s
As an added bonus, here is the "equivalent" command in sed:
sed -e 's|\("\)|"|g' -e 's|^.*error_code="\([^>]\+\)">\(.\+\).*$|\2;\1|g'
Much slower although the strategy is the same. Two expressions are used. First replace all " xml entities with ". Lastly group all characters (.+) after >. Display the remembered patterns in reverse order \2;\1
Timing statistics:
$ time cat file-* | sed -e 's|\("\)|"|g' -e 's|^.*error_code="\([^>]\+\)">\(.\+\).*$|\2;\1|g' > result.sed
real 5m59.576s
user 5m56.136s
sys 0m9.850s
Is this too thick:
$ awk -F""+" -v OFS='";"' -v dq='"' '{gsub(/^.*="|">$/,"",$1);print dq""$2,$4,$6,$8,$10dq";"$1}' test.in
"21006041";"28006041";"34006211";"43";"101210-0001";101