使用bash/python合并两个CSV文件

2024-09-29 00:16:47 发布

您现在位置:Python中文网/ 问答频道 /正文

我有两个CSV文件需要帮助映射/合并:

CSV文件1:

"ID","Name","Flavor"
"45fc754d-6a9b-4bde-b7ad-be91ae60f582","test1","m1.medium"
"83dbc739-e436-4c9f-a561-c5b40a3a6da5","test2","m1.tiny"
"ef68fcf3-f624-416d-a59b-bb8f1aa2a769","test3","m1.medium"

CSV文件2:

"Name","RAM","Disk","VCPUs"
"m1.medium",4096,40,2
"m1.xlarge",16384,160,8
"m1.tiny",128,1,1

理想的输出是:

"ID","Name","Flavor","RAM","Disk","VCPUs"
"45fc754d-6a9b-4bde-b7ad-be91ae60f582","test1","m1.medium",4096,40,2
"83dbc739-e436-4c9f-a561-c5b40a3a6da5","test2","m1.tiny",128,1,1
"ef68fcf3-f624-416d-a59b-bb8f1aa2a769","test3","m1.medium",4096,40,2

请注意,CSV文件1中的Flavor和CSV文件2中的Name是相同的。名称上的差异是用于提取信息的工具不同的结果

还要注意,CSV文件2有一个flavor/name{}。如上所述,如果在CSV文件1中找不到m1.xlarge{},则应将其从合并输出中丢弃

我整天都在做这件事,结果好坏参半。任何想法都将不胜感激


Tags: 文件csvnameidtinymediumtest1test2
3条回答

您可以使用此awk

awk -v hdr='"ID","Name","Flavor","RAM","Disk","VCPUs"' 'BEGIN {
   FS=OFS=","
   print hdr
}
NR == FNR {
   a[$1] = $2 FS $3 FS $4
   next
}
$3 in a {
   print $0, a[$3]
}' file2.csv file1.csv

"ID","Name","Flavor","RAM","Disk","VCPUs"
"45fc754d-6a9b-4bde-b7ad-be91ae60f582","test1","m1.medium",4096,40,2
"83dbc739-e436-4c9f-a561-c5b40a3a6da5","test2","m1.tiny",128,1,1
"ef68fcf3-f624-416d-a59b-bb8f1aa2a769","test3","m1.medium",4096,40,2

类似这样的东西,但你必须玩一下报价选项,看看你喜欢什么

#!/usr/bin/env python3

import csv

by_name = {}
with open('b.csv') as b:
    for row in csv.DictReader(b):
        name = row.pop('Name')
        by_name[name] = row

with open('c.csv', 'w') as c:
    w = csv.DictWriter(c, ['ID', 'Name', 'Flavor', 'RAM', 'Disk', 'VCPUs'])
    w.writeheader()

    with open('a.csv') as a:
        for row in csv.DictReader(a):
            try:
                match = by_name[row['Flavor']]
            except KeyError:
                continue

            row.update(match)

            w.writerow(row)

输出:

ID,Name,Flavor,RAM,Disk,VCPUs
45fc754d-6a9b-4bde-b7ad-be91ae60f582,test1,m1.medium,4096,40,2
83dbc739-e436-4c9f-a561-c5b40a3a6da5,test2,m1.tiny,128,1,1
ef68fcf3-f624-416d-a59b-bb8f1aa2a769,test3,m1.medium,4096,40,2

如果我正确理解了您的问题,并且您希望根据Flavor列中的字符串将第一个文件中的行与第二个csv中Name列中具有该值的行进行匹配,那么使用^{}很容易做到这一点(您可能需要install first):

$ xsv join "Flavor" file1.csv "Name" file2.csv
ID,Name,Flavor,Name,RAM,Disk,VCPUs
45fc754d-6a9b-4bde-b7ad-be91ae60f582,test1,m1.medium,m1.medium,4096,40,2
83dbc739-e436-4c9f-a561-c5b40a3a6da5,test2,m1.tiny,m1.tiny,128,1,1
ef68fcf3-f624-416d-a59b-bb8f1aa2a769,test3,m1.medium,m1.medium,4096,40,2

您还必须删除重复的Name列,您可以再次使用xsv执行此操作:

$ xsv join "Flavor" file1.csv "Name" file2.csv | xsv select ID,Name,Flavor,RAM,Disk,VCPUs
ID,Name,Flavor,RAM,Disk,VCPUs
45fc754d-6a9b-4bde-b7ad-be91ae60f582,test1,m1.medium,4096,40,2
83dbc739-e436-4c9f-a561-c5b40a3a6da5,test2,m1.tiny,128,1,1
ef68fcf3-f624-416d-a59b-bb8f1aa2a769,test3,m1.medium,4096,40,2

相关问题 更多 >