使用awk命令透视表内容
我想使用awk来透视表内容，有人可以分享我将如何做到这一点。谢谢 表1使用awk命令透视表内容,awk,Awk,我想使用awk来透视表内容，有人可以分享我将如何做到这一点。谢谢 表1 FEATURE,TESTER,LICENSE_USED,PROGRAM,AREA Low,T6712,23,Element01,FT1 High,T7911,54,Element03,FT2 Medium,E8123,48,Element02,FT3 High,F4309,54,Element02,PB1 Low,F4309,23,Element01,PB1 Low,T7911,23,Element04,FT1 High,E
FEATURE,TESTER,LICENSE_USED,PROGRAM,AREA
Low,T6712,23,Element01,FT1
High,T7911,54,Element03,FT2
Medium,E8123,48,Element02,FT3
High,F4309,54,Element02,PB1
Low,F4309,23,Element01,PB1
Low,T7911,23,Element04,FT1
High,E8123,54,Element05,FT2
Medium,F4309,48,Element01,PB1
TESTER,PROGRAM,AREA,High,Low,Medium
E8123,Element02,FT3,0,0,48
E8123,Element05,FT2,54,0,0
F4309,Element01,PB1,0,23,48
F4309,Element02,PB1,54,0,0
T6712,Element01,FT1,0,23,0
T7911,Element03,FT2,54,0,
T7911,Element04,FT1,0,23,0
TESTER,E8123,E8123,F4309,F4309,T6712,T7911,T7911
PROGRAM,Element02,Element05,Element01,Element02,Element01,Element03,Element04
AREA,FT3,FT2,PB1,PB1,FT1,FT2,FT1
High,0,54,0,54,0,54,0
Low,0,0,23,0,23,0,23
Medium,48,0,48,0,0,,0
awk 'BEGIN {FS=OFS=SUBSEP=","} NR>1{a[$2,$4,$5];b[$2,$4,$5,$1]=$3} END{print "TESTER","PROGRAM","AREA","High","Low","Medium";for(c in a) print k,0+b[k,"High"],0+b[k,"Low"],0+b[k,"Medium"]}' file
对于转置输出：
$ awk '
BEGIN {
FS = OFS = ","
tr[cell[4, 1] = "High" ] = 4
tr[cell[5, 1] = "Low" ] = 5
tr[cell[6, 1] = "Medium"] = 6
}
{
cell[1, NR] = $2
cell[2, NR] = $4
cell[3, NR] = $5
}
NR > 1 {
cell[tr[$1], NR] = $3
}
END {
for (row = 1; row <= 6; ++row) {
for (col = 1; col <= NR; ++col)
if (row > 3 && col > 1)
$col = int(cell[row, col])
else
$col = cell[row, col]
print
}
}' file
TESTER,T6712,T7911,E8123,F4309,F4309,T7911,E8123,F4309
PROGRAM,Element01,Element03,Element02,Element02,Element01,Element04,Element05,Element01
AREA,FT1,FT2,FT3,PB1,PB1,FT1,FT2,PB1
High,0,54,0,54,0,0,54,0
Low,23,0,0,0,23,23,0,0
Medium,0,0,48,0,0,0,0,48
$ tr , '\011' < expected.txt | column -tR 2,3,4,5,6,7,8
TESTER E8123 E8123 F4309 F4309 T6712 T7911 T7911
PROGRAM Element02 Element05 Element01 Element02 Element01 Element03 Element04
AREA FT3 FT2 PB1 PB1 FT1 FT2 FT1
High 0 54 0 54 0 54 0
Low 0 0 23 0 23 0 23
Medium 48 0 48 0 0 0 0
{ head -n 1 file; tail -n +2 file | sort -t ',' -k 5; } | awk '...'
以下是原始输入：
FEATURE,TESTER,LICENSE_USED,PROGRAM,AREA
Low,T6712,23,Element01,FT1
High,T7911,54,Element03,FT2
Medium,E8123,48,Element02,FT3
High,F4309,54,Element02,PB1
Low,F4309,23,Element01,PB1
Low,T7911,23,Element04,FT1
High,E8123,54,Element05,FT2
Medium,F4309,48,Element01,PB1
$ tr , '\011' < data.txt | column -tR 3,5
FEATURE TESTER LICENSE_USED PROGRAM AREA
Low T6712 23 Element01 FT1
High T7911 54 Element03 FT2
Medium E8123 48 Element02 FT3
High F4309 54 Element02 PB1
Low F4309 23 Element01 PB1
Low T7911 23 Element04 FT1
High E8123 54 Element05 FT2
Medium F4309 48 Element01 PB1
这个问题似乎根本不包括任何解决问题的尝试。StackOverflow希望您能这样做，因为您的尝试有助于我们更好地了解您的需求。请编辑问题以显示您尝试了什么，并显示您遇到的具体障碍。有关更多信息，请参阅。嗨，是否可以转换预期输出？好的，我在《如何按区域排序》中发布了它？
$ tr , '\011' < data.txt | column -tR 3,5
FEATURE TESTER LICENSE_USED PROGRAM AREA
Low T6712 23 Element01 FT1
High T7911 54 Element03 FT2
Medium E8123 48 Element02 FT3
High F4309 54 Element02 PB1
Low F4309 23 Element01 PB1
Low T7911 23 Element04 FT1
High E8123 54 Element05 FT2
Medium F4309 48 Element01 PB1
$ tr , '\011' < expected.txt | column -tR 2,3,4,5,6,7,8
TESTER E8123 E8123 F4309 F4309 T6712 T7911 T7911
PROGRAM Element02 Element05 Element01 Element02 Element01 Element03 Element04
AREA FT3 FT2 PB1 PB1 FT1 FT2 FT1
High 0 54 0 54 0 54 0
Low 0 0 23 0 23 0 23
Medium 48 0 48 0 0 0 0
$ tr , '\011' < data.txt | column -tR 3 | sort -k2
Medium E8123 48 Element02 FT3
High E8123 54 Element05 FT2
Low F4309 23 Element01 PB1
Medium F4309 48 Element01 PB1
High F4309 54 Element02 PB1
Low T6712 23 Element01 FT1
Low T7911 23 Element04 FT1
High T7911 54 Element03 FT2
FEATURE TESTER LICENSE_USED PROGRAM AREA
BEGIN {
FS=","
}
NR > 1 {
data[$2,$4,$5] = data[$2,$4,$5] $1 ":" $3 FS
}
END {
#construct the table
for (tester_element_area in data) {
split(tester_element_area, parts, SUBSEP)
tester = parts[1]
element = parts[2]
area = parts[3]
n = split(data[tester_element_area], d)
template["High"] = 0
template["Medium"] = 0
template["Low"] = 0
for (i = 1; i <= n; i++) {
split(d[i], license, ":")
degree = license[1]
value = license[2]
template[ degree ] = value
}
table["TESTER"] = table["TESTER"] FS tester
table["PROGRAM"] = table["PROGRAM"] FS element
table["AREA"] = table["AREA"] FS area
table["High"] = table["High"] FS template["High"]
table["Medium"] = table["Medium"] FS template["Medium"]
table["Low"] = table["Low"] FS template["Low"]
}
#print the table
header[1] = "TESTER"
header[2] = "PROGRAM"
header[3] = "AREA"
header[4] = "High"
header[5] = "Low"
header[6] = "Medium"
for (i = 1; i <= 6; i++) {
header_name = header[i]
printf header_name
n = split(table[header_name], parts)
for (j = 1; j <= n; j++) {
if (j > 1) {
printf FS
}
printf parts[j]
}
print ""
}
}
$ awk -f prog.awk < data.txt | tr , '\011' | column -tR2,3,4,5,6,7,8
TESTER E8123 T7911 F4309 E8123 T6712 T7911 F4309
PROGRAM Element05 Element04 Element02 Element02 Element01 Element03 Element01
AREA FT2 FT1 PB1 FT3 FT1 FT2 PB1
High 54 0 54 0 0 54 0
Low 0 23 0 0 23 0 23
Medium 0 0 0 48 0 0 48
END {
for (tester_element_area in data) {
cols[++i] = tester_element_area
}
m = asort(cols)
#construct the table
for (k = 1; k <= m; k++) {
tester_element_area = cols[k]
...
$ awk -f prog.awk < data.txt | tr , '\011' | column -tR2,3,4,5,6,7,8
TESTER E8123 E8123 F4309 F4309 T6712 T7911 T7911
PROGRAM Element02 Element05 Element01 Element02 Element01 Element03 Element04
AREA FT3 FT2 PB1 PB1 FT1 FT2 FT1
High 0 54 0 54 0 54 0
Low 0 0 23 0 23 0 23
Medium 48 0 48 0 0 0 0
NR > 1 {
data[$5,$2,$4] = data[$5,$2,$4] $1 ":" $3 FS
}
END {
for (tester_element_area in data) {
cols[++i] = tester_element_area
}
m = asort(cols)
#construct the table
for (k = 1; k <= m; k++) {
tester_element_area = cols[k]
split(tester_element_area, parts, SUBSEP)
area = parts[1]
tester = parts[2]
element = parts[3]
TESTER T6712 T7911 E8123 T7911 E8123 F4309 F4309
PROGRAM Element01 Element04 Element05 Element03 Element02 Element01 Element02
AREA FT1 FT1 FT2 FT2 FT3 PB1 PB1
High 0 0 54 54 0 0 54
Low 23 23 0 0 0 23 0
Medium 0 0 0 0 48 48 0