我想将 txt 文件转换为表格格式。我使用 pandas 来跳过行，但我想要一种通用的方法，而不是跳过行：
这是txt文件：
Interface Status Protocol Description
Vl1 up up
Vl5 up up Legacy-RC-Admin
Vl20 up up Legacy-RC-server
Vl30 up up Legacy-RC-iSCSI
Vl40 down down WAN Interconnect VLAN
Vl50 up up
Vl60 down down Tech FW ICS
Vl101 up up RFR Data
Vl131 down down Data WLAN
Vl134 up up WLAN Management
Vl151 down down Factory WLAN
Vl201 up up RFR Management
- VLAN + IP address
--------------------
Interface IP-Address OK? Method Status Protocol
Vlan1 unassigned YES unset up up
Vlan5 10.26.95.33 YES NVRAM up up
Vlan20 10.26.93.1 YES NVRAM up up
Vlan30 10.26.93.65 YES NVRAM up up
Vlan40 10.63.121.251 YES NVRAM down down
Vlan50 10.50.50.54 YES NVRAM up up
Vlan60 10.26.95.22 YES NVRAM down down
Vlan101 10.26.92.1 YES NVRAM up up
Vlan131 10.26.81.1 YES NVRAM down down
Vlan134 10.26.82.1 YES NVRAM up up
Vlan151 10.26.83.1 YES NVRAM down down
Vlan201 10.26.80.1 YES NVRAM up up
- Subnet Mask
-------------
Internet address is 10.210.130.10/30
Internet address is 172.16.1.202/24
Internet address is 151.151.151.151/32
Internet address is 10.26.95.33/27
Internet address is 10.26.93.1/26
Internet address is 10.26.93.65/26
Internet address is 10.63.121.251/28
Internet address is 10.50.50.54/24
Internet address is 10.26.95.22/29
Internet address is 10.26.92.1/24
Internet address is 10.26.81.1/24
Internet address is 10.26.82.1/24
Internet address is 10.26.83.1/24
Internet address is 10.26.80.1/24
这是代码：
import pandas as pd
import numpy as np
df5 = pd.read_csv('MLAN_LLD.txt', skiprows=131,nrows=4, sep='\s{2,}', names=['Interface','Status','Protocol','Description'])
df6 = pd.read_csv('MLAN_LLD.txt', skiprows=138, nrows=3, sep='\s{2,}', names=['Interface','IP-Address','ok','Method','Status','Protocol'])
final_df1 = df5.join(df6, lsuffix='_decription', rsuffix='_ipaddress')