在对与单个键对应的值进行分组时,我在具有两个以上字段的 csv 格式文件上尝试了此操作,例如:
Keyobject,FieldName,Fieldvalue
1,are you sleeping,yes
1,country of meeting,USA
2,are you sleeping,' '
2,country of meeting,' '
3,are you sleeping,yes
3,country of meeting,CHINA
4,are you sleeping,yes
4,country of meeting,ITALY
预期输出:
Keyobject,Are you sleeping,country of meeting
1,yes,USA
2, ,
3,yes,CHINA
4,no,ITALY.
请提供粗略的想法或任何脚本。
答案1
awk -F, '
NR > 1 {ids[$1]; keys[$2]; value[$1,$2] = $3}
END {
printf "Keyobject"
for (k in keys)
printf ",%s", k
print ""
for (id in ids) {
printf id
for (k in keys)
printf ",%s", value[id,k]
print ""
}
}
' file
答案2
也试试
awk -F, -v OFS="," '
NR == 1 {HD = "Keyobject,are you sleeping,country of meeting"
for (MX=n=split (HD, HDArr, OFS); n>0; n--) SRCH[HDArr[n]]
print HD
next
}
$2 in SRCH {RES[$2] = $3
RES[HDArr[1]] = $1
}
NR%2 {for (i=1; i<=MX; i++) printf "%s%s", RES[HDArr[i]], (i == MX)?ORS:OFS
split ("", RES)
}
' file
Keyobject,are you sleeping,country of meeting
1,yes,USA
2,' ',' '
3,yes,CHINA
4,yes,ITALY
读取第 1 行时,将创建标题和由标题元素索引的搜索数组,并打印标题。在下面的行中,由 $2 索引的结果数组被分配给 $3,并且对于“Keyobject”索引字符串来说是冗余的。每隔一行,打印结果,并删除结果数组。
答案3
awk <file -v IV="' '" -v OV=" " -F, '
$1+0 {
b = $2 == IV ? OV : $2
a[$1,$2] = $3 == IV ? OV : $3
if($1 > max) max = $1; t[$2]++;
}
END{
ORS = ""
print "Keyobject"
for(k in t) print FS k
print RS
for(i = 1; i <= max; i++){
print i
for(k in t)
print FS (i SUBSEP k in a ? a[i,k] : OV)
print RS
}
}
'
分别调整IV
和OV
变量以确定输入和输出中的空字段应包含的内容。
答案4
假设您的 csv 文件名为“list.csv”。我会这样做:
#!/bin/bash
echo -e "Keyobject","Are you sleeping ", " Country of meeting" # create new header
cat list.csv | sed 1,1d | awk -F, 'NF>1{print $NF}' | paste -d', ' - - | sed 's/ /,/' | nl
1 yes,USA
2 ' ', ' '
3 yes,CHINA
4 yes,ITALY
解释:
sed 1,1d # This command excludes the original header in list.csv
awk -F, 'NF>1{print $NF}' # This command reads the last word in each row
paste -d', ' - - # This command paste the words beside each other
sed 's/ /,/' # This command replaces blank spaces with commas
nl # This command adds numbering to the rows in the final output
但是,此解决方案假定原始 csv 文件中的行的组织方式如上面的示例所示。