与其他功能结合使用时,为什么Python pandas read_csv无法正常工作

时间:2018-09-18 08:01:00

标签: python python-3.x pandas

Python熊猫read_csv这样单独编写时会提供正确的输出:

import pandas as pd
def bgp_neighbor_status():
    data = pd.read_csv('E:\\Python-Scripts\\bgp-result.txt', delim_whitespace=True, header=None)
    for index, row in data.iterrows():
        if row[9] == 'Down' or row[9] == 'Idle' or row[9] == 'Active':
            print(f"Neighbor {row[0]} is down")
        else:
            pass

bgp_neighbor_status()

按预期显示的输出:

Neighbor 10.0.11.101 is down

但是,当我将相同的功能与这样的另一个功能结合使用时,出现错误:- pandas.errors.EmptyDataError:没有要从文件中解析的列

from __future__ import print_function
from netmiko import ConnectHandler
import pandas as pd

import sys
import time
import select
import paramiko
import re

bgp_result_file = open(r'E:\\Python-Scripts\\bgp-result.txt','w')
old_stdout = sys.stdout
sys.stdout = bgp_result_file
platform = 'cisco_ios'
username = 'javed'
password = 'cisco'

ip_add_file = open(r'E:\\Python-Scripts\\IPAddressList.txt', 'r')

def check_bgp(ip_add_file):

    for host in ip_add_file:
        host = host.rstrip('\n')
        connect = ConnectHandler(device_type=platform, ip=host, username=username, password=password)
        output = connect.send_command('terminal length 0')
        output = connect.send_command('enable')
        bgp_status = connect.send_command('show ip bgp summary | be N')
        print (bgp_status)


def bgp_neighbor_status():
    data = pd.read_csv('E:\\Python-Scripts\\bgp-result.txt', delim_whitespace=True, header=None)
    for index, row in data.iterrows():
        if row[9] == 'Down' or row[9] == 'Idle' or row[9] == 'Active':
            print(f"Neighbor {row[0]} is down")
        else:
            pass

check_bgp(ip_add_file)
bgp_neighbor_status()  

1 个答案:

答案 0 :(得分:1)

此行位于顶部:

bgp_result_file = open(r'E:\\Python-Scripts\\bgp-result.txt','w')

该行在脚本的开头执行,基本上清除了文件。根据文档:https://docs.python.org/2/library/functions.html#open

  

最常用的mode值是'r'表示读取,'w'表示写(如果文件已经存在,则将其截断),以及'a'表示附加(在某些Unix系统上,这意味着所有写操作都会附加到文件末尾,无论当前搜索位置如何)。 [...]

截断文件(如果已经存在)