in reply to data manipulation

Accumulate the values into a hash where the keys are the 5 minute slots. Split every 3rd set of values between the 2 affected slots. Divide by 5 for the averages:

#! perl -slw use strict; use Data::Dumper; my $re_line = qr[ ( \d\d ): ( \d\d ) ( .* $ ) ]x; my %timeslots; my $counter = 0; while( <DATA> =~ $re_line ) { # Extract hrs, mins, data into $1, $2, $ +3 my @temp = split ' ', $3; for( 0 .. 4 ) { # split every 3rd line between 2 5-minute slots if( $counter++ % 3 == 2 ) { $timeslots{ int( ( $1 * 60 + $2 ) / 5 ) }->[ $_ ] += $ +temp[ $_ ] / 2; $timeslots{ int( 1 + ( $1 * 60 + $2 ) / 5 ) }->[ $_ ] += $ +temp[ $_ ] / 2; } else { $timeslots{ int( ( $1 * 60 + $2 ) / 5 ) }->[ $_ ] += $ +temp[ $_ ]; } } } for my $ts ( sort{ $a <=> $b } keys %timeslots ) { printf '%2d:%02d' . ' [%f]' x 5 . $/, ( $ts * 5 ) / 60, ( $ts * 5 ) % 60, map{ $_ / 5 } @{ $timeslots{ $ts } } ; } __DATA__ 08/07/03.22:55 1.029 1.172 1.03 0.086 0.382 08/07/03.22:57 0.829 2.284 1.219 0.087 0.439 08/07/03.22:59 2.437 0.792 0.809 0.087 0.305 08/07/03.23:01 0.653 1.089 0.541 0.116 0.351 08/07/03.23:03 0.823 2.407 0.826 0.04 0.23 08/07/03.23:05 0.797 1.016 0.619 0.195 0.274 08/07/03.23:07 1.742 0.901 1.078 0.087 0.328 08/07/03.23:09 0.897 1.218 0.512 0.096 0.252 08/07/03.23:11 1.146 1.281 0.521 0.086 0.276 08/07/03.23:13 0.924 1.129 0.891 0.4 0.456 08/07/03.23:15 1.103 1.383 1.645 0.09 0.387 08/07/03.23:17 0.86 2.078 1.098 0.635 0.36 08/07/03.23:19 3.832 1.911 0.808 0.086 0.309

Output

P:\test>282224 22:55 [0.776100] [0.770400] [0.508600] [0.043300] [0.194700] 23:00 [0.295800] [0.778400] [0.322300] [0.035900] [0.146700] 23:05 [0.679800] [0.525400] [0.388100] [0.070000] [0.143400] 23:10 [0.503700] [0.455500] [0.301100] [0.106800] [0.146200] 23:15 [1.048700] [0.994700] [0.718500] [0.153200] [0.202800] 23:20 [0.110300] [0.207800] [0.080800] [0.009000] [0.036000]

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