我需要一些幫助，所以我有一個包含以下信息的文件；IP,Ports,count"192.168.0.1","80 8980 6789 443 4778 3556 7778 4432 5674 7786 2234 6678 33245 7788 3332 6678 3322 5432 5567",19"192.168.0.2","80 8980 6789 443 4778 3556 7778 4432 5674 7786 2234 6678 33245 7788 3332 6678 3322 5432 5567",19"192.168.0.3","80 8980 6789 443 4778 3556 7778 4432 5674 7786 2234 6678 33245 7788 3332 6678 3322 5432 5567",19"192.168.0.4","80 8980 6789 443 4778 3556 7778 4432 5674 7786 2234 6678 33245 7788 3332 6678 3322 5432 5567",19我想將端口拆分為 5 個范圍，用于具有 IP 的新文件中的每個文件。預期成績。IP,Ports192.168.0.1 80,8980,6789,443,4778192.168.0.1 3556,7778,4432,5674,7786192.168.0.1 2234,6678,33245,7788,3332192.168.0.1 6678,3322,5432,5067192.168.0.2 80,8980,6789,443,4778192.168.0.2 3556,7778,4432,5674,7786192.168.0.2 2234,6678,33245,7788,3332192.168.0.2 6678,3322,5432,5067192.168.0.3 80,8980,6789,443,4778192.168.0.3 3556,7778,4432,5674,7786192.168.0.3 2234,6678,33245,7788,3332192.168.0.3 6678,3322,5432,5067192.168.0.4 80,8980,6789,443,4778192.168.0.4 3556,7778,4432,5674,7786192.168.0.4 2234,6678,33245,7788,3332192.168.0.4 6678,3322,5432,5067老實說，我不知道如何做到這一點或從哪里開始。請協助。無論是在 AWK 還是 python 中都可以，只要向我解釋一下腳本/單行代碼的作用，以便我可以嘗試使用它。
2 回答
達令說
TA貢獻1821條經驗 獲得超6個贊
您能否嘗試以下操作（在顯示的示例中測試和編寫）。
awk -F'"|","' -v lines=$(wc -l < Input_file) '
BEGIN{
print "IP,ports"
}
FNR>1{
num=split($3,array," ")
for(i=1;i<=num;i++){
if(i==1){ printf $2 OFS }
printf("%s%s",array[i],i%5==0||i==num?ORS:FNR==lines && i==num?ORS:",")
if(i%5==0){ printf $2 OFS }
}
}' Input_file
說明：在此處添加上述的詳細說明。
awk -F'"|","' -v lines=$(wc -l < Input_file) ' ##Starting awk program from here.
BEGIN{ ##Starting BEGIN section of this program.
print "IP,ports" ##Printing headers here.
}
FNR>1{ ##Checking condition if current line number is greater than 1st line.
num=split($3,array," ") ##Splitting 3rd field into an array with delimiter space.
for(i=1;i<=num;i++){ ##Traversing through all elements of array here.
if(i==1){ printf $2 OFS } ##if its first element of array then print 2nd field of line and OFS.
printf("%s%s",array[i],i%5==0||i==num?ORS:FNR==lines && i==num?ORS:",") ##Printing array value along with condition if its 5 element or number of total elements equals i then print new line OR current line number equal to lines OR i equals to num then print new line OR print comma.
if(i%5==0){ printf $2 OFS } ##If its 5th element then print current line 2nd field with space
}
}' Input_file
揚帆大魚
TA貢獻1799條經驗 獲得超9個贊
對于 Python，您可以執行以下操作：
使用 讀取 CSV 文件
csv.DictReader并使用 . 打開要寫入的文件DictReader。DictReader將每一行映射到 adict，這樣可以更輕松地訪問 CSV 列。使用 .寫入輸出 CSV 標頭
DictWriter.writeheader。使用循環迭代文件的每一行
for。使用 . 分割空格上的端口
str.split。每 5 個端口分塊。我們可以使用如何將列表拆分為大小均勻的塊中的方法？ .
遍歷這些塊中的每一個，然后使用
csvwriter.writerow. 我們確保只包括IP和Ports列。
演示：
from csv import DictReader, DictWriter
# Given attribute to https://stackoverflow.com/questions/312443/how-do-you-split-a-list-into-evenly-sized-chunks/312464#312464
def chunks(lst, n):
"""Yield successive n-sized chunks from lst."""
for i in range(0, len(lst), n):
yield lst[i:i + n]
# Open both input and output files
with open("data.csv") as f, open("output.csv", mode="w", newline='') as o:
# Create reading and writing objects
reader = DictReader(f)
writer = DictWriter(o, fieldnames=["IP", "Ports"])
# Write headers
writer.writeheader()
# Go through each line from reader object
for line in reader:
# Split ports by whitespace into a list of ports
ports = line["Ports"].split()
# Go through each chunk(n = 5) of ports
for port_chunk in chunks(ports, 5):
# Write row to output CSV file
row_dict = {"IP": line["IP"], "Ports": ",".join(port_chunk)}
writer.writerow(row_dict)
輸出.csv
IP,Ports
192.168.0.1,"80,8980,6789,443,4778"
192.168.0.1,"3556,7778,4432,5674,7786"
192.168.0.1,"2234,6678,33245,7788,3332"
192.168.0.1,"6678,3322,5432,5567"
192.168.0.2,"80,8980,6789,443,4778"
192.168.0.2,"3556,7778,4432,5674,7786"
192.168.0.2,"2234,6678,33245,7788,3332"
192.168.0.2,"6678,3322,5432,5567"
192.168.0.3,"80,8980,6789,443,4778"
192.168.0.3,"3556,7778,4432,5674,7786"
192.168.0.3,"2234,6678,33245,7788,3332"
192.168.0.3,"6678,3322,5432,5567"
192.168.0.4,"80,8980,6789,443,4778"
192.168.0.4,"3556,7778,4432,5674,7786"
192.168.0.4,"2234,6678,33245,7788,3332"
192.168.0.4,"6678,3322,5432,5567"
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