在每个 Unix 机器上的任何 shell 中使用任何 awk 并且没有在每个记录中创建新字段(这是低效的,因为它会导致 awk 在每次更改字段时重新构建记录)并且没有更新输入记录(这效率低下,因为它会导致 awk 在您每次更改记录时将记录重新拆分为字段),并且旨在以任何顺序用于任意数量的值输入列:
$ cat tst.awk
BEGIN { FS=OFS="\t" }
{ printf "%s%s", $0, OFS }
NR==1 {
for (i=3; i<=NF; i++) {
printf "Total_%s%s", $i, OFS
tags[i] = $i
}
print "Percentage"
next
}
{
delete tot
for (i=3; i<=NF; i++) {
tag = tags[i]
n = split($i,vals,",")
for (j in vals) {
tot[tag] += vals[j]
}
printf "%s%s", tot[tag], OFS
}
printf "%0.3f%s", (tot["Weight"] ? tot["Height"] / tot["Weight"] : 0), ORS
}
$ awk -f tst.awk file
Name type Age Weight Height Total_Age Total_Weight Total_Height Percentage
Xxx M 12,34,23 50,30,60,70 4,5,6,5.5 69 210 20.5 0.098
Yxx F 21,14,32 40,50,20,40 3,4,5,5.5 67 150 17.5 0.117
$ awk -f tst.awk file | column -t
Name type Age Weight Height Total_Age Total_Weight Total_Height Percentage
Xxx M 12,34,23 50,30,60,70 4,5,6,5.5 69 210 20.5 0.098
Yxx F 21,14,32 40,50,20,40 3,4,5,5.5 67 150 17.5 0.117
为了展示上述方法的功能优势,假设您需要添加更多值,例如 ShoeSize 和/或重新排列列的顺序,例如:
$ column -t file
Name type ShoeSize Height Age Weight
Xxx M 12,8,10 4,5,6,5.5 12,34,23 50,30,60,70
Yxx F 9,7,8 3,4,5,5.5 21,14,32 40,50,20,40
现在运行上面的脚本,你会发现Total_ 为每个原始列添加了列,你仍然得到相同的高度/重量Percentage 列添加到末尾:
$ awk -f tst.awk file | column -t
Name type ShoeSize Height Age Weight Total_ShoeSize Total_Height Total_Age Total_Weight Percentage
Xxx M 12,8,10 4,5,6,5.5 12,34,23 50,30,60,70 30 20.5 69 210 0.098
Yxx F 9,7,8 3,4,5,5.5 21,14,32 40,50,20,40 24 17.5 67 150 0.117