我正在尝试编写一个接受csv的代码,对第一列中的值运行ping,然后将状态输出到第二列。代码中的所有内容都运行正常,直到它尝试写出csv,此时我收到此错误 第35行,在writer.writerows(列)中 TypeError:'str'不支持缓冲区接口
import os
import csv
from collections import defaultdict
i = 0
#read file
columns = defaultdict(list)
with open('hosts.csv') as f:
reader = csv.DictReader(f)
for row in reader:
for (k,v) in row.items():
columns[k].append(v)
f.close()
print('[DEBUG]', columns['host'])
print('[DEBUG] 1st host is', (columns['host'])[0])
print('[DEBUG]', columns['status'])
#ping hosts
hostname = (columns['host'])[i]
response = os.system("ping -n 1 " + hostname)
print ("[DEBUG]", response)
if response == 0:
print (hostname, 'is up')
(columns['status'])[i] = 'Up'
i = i+1
else:
print (hostname, 'is down')
(columns['status'])[i] = 'Down'
i = i+1
#write results
with open("hosts.csv", "wb") as f:
writer =csv.writer(f)
print("[DEBUG] just before write rows")
writer.writerows(columns)
print("[DEBUG] after write rows")
f.close()
csv包含以下内容
host,status,name
8.8.8.8,down,google.com
并且应该返回
host,status,name
8.8.8.8,Up,google.com
我正在使用Python 3.4
答案 0 :(得分:0)
您正在以一种格式阅读CSV并在另一种格式中写入,其中列是defaultdict,其中包含dict中的值列表。
这是解决此问题的更好方法,维护原始文件结构:
import os
import csv
with open('hosts.csv') as f:
reader = csv.DictReader(f)
rows = list(reader)
hosts = [row['host'] for row in rows]
statuses = [row['status'] for row in rows]
print('[DEBUG]', hosts)
print('[DEBUG] 1st host is', hosts[0])
print('[DEBUG]', statuses)
for row in rows:
#ping hosts
hostname = row['host']
response = os.system("ping -n 1 " + hostname)
print ("[DEBUG]", response)
if response == 0:
print (hostname, 'is up')
row['status'] = 'Up'
else:
print (hostname, 'is down')
row['status'] = 'Down'
#write results
with open("hosts.csv", "wb") as f:
writer = csv.DictWriter(f, reader.fieldnames)
# to maintain the same structure from the original file, rewrite header in original position
writer.writeheader()
print("[DEBUG] just before write rows")
writer.writerows(rows)
print("[DEBUG] after write rows")
在实例化csv.DictWriter之前,您可以更改要在新文件中的字段名称:
newfieldnames = csvreader.fieldnames
lastfield = newfieldnames.pop() # remove last field
if 'field_name' in newfieldnames:
newfieldnames.remove('field_name') # remove by field name
writer = csv.DictWriter(f, newfieldnames)