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 t
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.