Python 重置迭代器错误
我一直在尝试创建一个csv文件,该文件将更改所有子网和IP地址范围,以便不重叠。原来的问题在这里,但我已经解决了,因此Python 重置迭代器错误,python,csv,python-3.x,iteration,Python,Csv,Python 3.x,Iteration,我一直在尝试创建一个csv文件,该文件将更改所有子网和IP地址范围,以便不重叠。原来的问题在这里,但我已经解决了,因此if语句停止ValueErrors,第二个问题实际上不是问题。我相信,如果我能重置迭代器,我就可以实现这一点。它需要将文件1中的每一行与文件2中的每一行进行比较 当我尝试这个: import ipaddress import csv from csv import DictReader, DictWriter with open(r'file1.csv', newline=''
if
语句停止ValueError
s,第二个问题实际上不是问题。我相信,如果我能重置迭代器,我就可以实现这一点。它需要将文件1中的每一行与文件2中的每一行进行比较
当我尝试这个:
import ipaddress
import csv
from csv import DictReader, DictWriter
with open(r'file1.csv', newline='') as fin3,\
open(r'file2.csv', newline='') as fin4,\
open(r'file3.csv', 'w', newline='') as fout3:
read3 = DictReader(fin3) # fin 3 and 4 are copies of the same file
read4 = DictReader(fin4)
writenum3 = DictWriter(fout3, fieldnames=read3.fieldnames)
writenum3.writeheader()
for line3 in read3:
line3['Range']=ipaddress.ip_network(line3['Range']) # Convert IP ranges to ip network object
for line4 in read4:
line4['Range']=ipaddress.ip_network(line4['Range']) # Convert IP ranges to ip network object
if line3['Range'].netmask < line4['Range'].netmask: # To avoid "Not contained in" errors
if line3['Range'].overlaps(line4['Range']): # Tests for IP overlap
lst=list(line3['Range'].address_exclude(line4['Range'])) # List of subnets excluding line4 subnet
print (lst) # Temporary to view contents of lst
for val in lst:
line3['Range']=val # New range
line3[' IPStart']=val.network_address #New net address
line3[' IPStop']=val.broadcast_address #New broadcast address
writenum3.writerow(line3) # Write lines
它给出一个错误ValueError:“范围”似乎不是IPv4或IPv6网络
如果我尝试list()
方法(此处解释:):
这就是我最终想要的(尽管每个比较的所有子网现在都可以):
我们非常感谢您的帮助,让它按照预期的方式工作
谢谢,
B0T我认为您只需要在第二次尝试中的
fin4.seek(0)#Reset iterator
之后插入一个read4=DictReader(fin4)
,这样DictReader
实例将再次从文件的开头开始,也是。如果您想将DictReader/Writer子类化,则需要另一个方法来重置该类
对于听写器:
f = open(filename, "rb")
d = csv.DictReader(f, delimiter=",")
f.seek(0)
d.__init__(f, delimiter=",")
对于DictWriter:
f = open(filename, "rb+")
d = csv.DictWriter(f, fieldnames=fields, delimiter=",")
f.seek(0)
f.truncate(0)
d.__init__(f, fieldnames=fields, delimiter=",")
d.writeheader()
f.flush()
代码中的注释表示
#fin 3和fin 4是同一文件的副本
,但您为file1.csv
和file1.csv
提供了不同的内容。这是什么意思?@martineau我使用了同一个文件的副本,因为我不知道如何将同一个文件与其自身进行比较,也找不到任何好的示例用于csv dictreader/writer。哇,这似乎解决了我的问题。我只需要对照这个检查我的预期输出,以确保。谢谢去听。重要的是要意识到,在将文件交给DictReader()
之后,您必须非常小心您直接对它做了什么,因为后者也不会访问它。一般来说,很难使它们保持同步,因此需要像这样进行硬重置。
Zone Name, IPStart, IPStop,Range,Source
Group A,10.0.0.0,10.127.255.255,10.0.0.0/9,New List
Group A Sales,10.16.0.0,10.31.255.255,10.16.0.0/12,New List
Group A Marketing,10.62.0.0,10.62.255.255,10.62.0.0/16,New List
Group A Research,10.62.0.0,10.63.255.255,10.62.0.0/15,Old List
Group A Sales Primary routers,10.23.1.0,10.23.1.15,10.24.1.0/28,New List
Group A Sales Web Servers - Primary,10.18.0.0,10.18.0.255,10.18.0.0/24,New List
Group A Sales Web Servers,10.16.0.0,10.19.255.255,10.16.0.0/14,New List
Group B,10.128.0.0,10.255.255.255,10.128.0.0/9,Old List
Zone Name, IPStart, IPStop,Range,Source
Group A,10.0.0.0,10.15.255.255,10.0.0.0/12,New List
Group A,10.32.0.0,10.47.255.255,10.32.0.0/12,New List
Group A,10.48.0.0,10.55.255.255,10.48.0.0/13,New List
Group A,10.56.0.0,10.59.255.255,10.56.0.0/14,New List
Group A,10.60.0.0,10.61.255.255,10.60.0.0/15,New List
Group A,10.64.0.0,10.127.255.255,10.64.0.0/10,New List
Group A Marketing,10.62.0.0,10.62.255.255,10.62.0.0/16,New List
Group A Research,10.63.0.0,10.63.255.255,10.63.0.0/16,Old List
Group A Sales,10.20.0.0,10.21.255.255,10.20.0.0/15,New List
Group A Sales,10.22.0.0,10.22.255.255,10.22.0.0/16,New List
Group A Sales,10.23.0.0,10.23.0.255,10.23.0.0/24,New List
Group A Sales,10.23.1.128,10.23.1.255,10.23.1.128/25,New List
Group A Sales,10.23.1.16,10.23.1.31,10.23.1.16/28,New List
Group A Sales,10.23.1.32,10.23.1.63,10.23.1.32/27,New List
Group A Sales,10.23.1.64,10.23.1.127,10.23.1.64/26,New List
Group A Sales,10.23.128.0,10.23.255.255,10.23.128.0/17,New List
Group A Sales,10.23.16.0,10.23.31.255,10.23.16.0/20,New List
Group A Sales,10.23.2.0,10.23.3.255,10.23.2.0/23,New List
Group A Sales,10.23.32.0,10.23.63.255,10.23.32.0/19,New List
Group A Sales,10.23.4.0,10.23.7.255,10.23.4.0/22,New List
Group A Sales,10.23.64.0,10.23.127.255,10.23.64.0/18,New List
Group A Sales,10.23.8.0,10.23.15.255,10.23.8.0/21,New List
Group A Sales,10.24.0.0,10.31.255.255,10.24.0.0/13,New List
Group A Sales,10.24.32.0,10.24.63.255,10.24.32.0/19,New List
Group A Sales Primary routers,10.23.1.0,10.23.1.15,10.24.1.0/28,New List
Group A Sales Web Servers,10.16.0.0,10.17.255.255,10.16.0.0/15,New List
Group A Sales Web Servers,10.19.0.0,10.19.255.255,10.19.0.0/16,New List
Group A Sales Web Servers,10.18.128.0,10.18.255.255,10.18.128.0/17,New List
Group A Sales Web Servers,10.18.64.0,10.18.127.255,10.18.64.0/18,New List
Group A Sales Web Servers,10.18.32.0,10.18.63.255,10.18.32.0/19,New List
Group A Sales Web Servers,10.18.16.0,10.18.31.255,10.18.16.0/20,New List
Group A Sales Web Servers,10.18.8.0,10.18.15.255,10.18.8.0/21,New List
Group A Sales Web Servers,10.18.4.0,10.18.7.255,10.18.4.0/22,New List
Group A Sales Web Servers,10.18.2.0,10.18.3.255,10.18.2.0/23,New List
Group A Sales Web Servers,10.18.1.0,10.18.1.255,10.18.1.0/24,New List
Group A Sales Web Servers - Primary,10.18.0.0,10.18.0.255,10.18.0.0/24,New List
Group B,10.128.0.0,10.255.255.255,10.128.0.0/9,Old List
f = open(filename, "rb")
d = csv.DictReader(f, delimiter=",")
f.seek(0)
d.__init__(f, delimiter=",")
f = open(filename, "rb+")
d = csv.DictWriter(f, fieldnames=fields, delimiter=",")
f.seek(0)
f.truncate(0)
d.__init__(f, fieldnames=fields, delimiter=",")
d.writeheader()
f.flush()