awk transpose specific row to column and group them - linux

Question

I have the below data in a stdout:
09:13:32 19.2 cpu(1)
09:13:32 15.6 cpu(2)
09:13:32 16.7 cpu(3)
09:13:32 17.1 cpu(6)
09:13:32 17.1 cpu(7)
09:13:32 16.9 cpu(8)
09:13:32 16.7 cpu(9)
09:13:39 13.0 cpu(1)
09:13:39 9.2 cpu(2)
09:13:39 9.1 cpu(3)
09:13:39 7.1 cpu(6)
09:13:39 27.1 cpu(7)
09:13:39 46.9 cpu(8)
09:13:39 36.7 cpu(9)
Trying to convert this to something like below.
['Time', 'cpu(1)', 'cpu(2)', 'cpu(3)', 'cpu(6)', 'cpu(7)', 'cpu(8)', 'cpu(9)'],
['09:13:32', 19.2, 15.6, 16.7, 17.1, 17.1, 16.9, 16.7],
['09:13:39', 13.0, 9.2, 9.1, 7.1, 27.1, 46.9, 36.7]
In other words, I need the original data to be aligned with Google visualization line chart format as stated here: https://developers.google.com/chart/interactive/docs/gallery/linechart
I am trying to achieve this using awk and need some inputs.
awk '{ for(N=1; N<=NF; N+=2) print $N, $(N+1); }' | awk 'BEGIN{q="\047"; printf "["q"Time"q","q"CPU"q"],"}/master/{q="\047"; printf "["q$10q"," $3"],"}' | sed 's/,$//'"
Note: I can change the original data columns like below
Time CPU(%) CPU Number
OR
CPU(%) CPU Number Time

Answer 1

Using any awk for any number of times and any number of cpus, and will work even if you don't have data for some time+cpu combinations, as long as the input isn't so massive that it can't all fit in memory:
$ cat tst.awk
BEGIN {
OFS = ", "
}
!seenTimes[$1]++ {
times[++numTimes] = $1
}
!seenCpus[$3]++ {
cpus[++numCpus] = $3
}
{
vals[$1,$3] = $2
}
END {
printf "[\047%s\047%s", "Time", OFS
for ( cpuNr=1; cpuNr<=numCpus; cpuNr++ ) {
cpu = cpus[cpuNr]
printf "\047%s\047%s", cpu, (cpuNr<numCpus ? OFS : "]")
}
for ( timeNr=1; timeNr<=numTimes; timeNr++ ) {
time = times[timeNr]
printf ",%s[\047%s\047%s", ORS, time, OFS
for ( cpuNr=1; cpuNr<=numCpus; cpuNr++ ) {
cpu = cpus[cpuNr]
val = vals[time,cpu]
printf "%s%s", val, (cpuNr<numCpus ? OFS : "]")
}
}
print ""
}
$ awk -f tst.awk file
['Time', 'cpu(1)', 'cpu(2)', 'cpu(3)', 'cpu(6)', 'cpu(7)', 'cpu(8)', 'cpu(9)'],
['09:13:32', 19.2, 15.6, 16.7, 17.1, 17.1, 16.9, 16.7],
['09:13:39', 13.0, 9.2, 9.1, 7.1, 27.1, 46.9, 36.7]