使用cosb(禁止词汇)ench进行测试的时候，生成的测试结果为csv文件 ，本来打算用pandas进行一下数据分析，却在第一步就卡住了。虽然现在使用读取普通文件的方式暂时解决了问题，但是pandas中遇到的问题却还没有解决，所以在这里请教一下各位朋友。
有一个文件，文件名为w108-8K-80%Read20%Write-160Thread.csv，共有7行，内容如下：
Stage,Op-Name,Op-Type,Op-Count,Byte-Count,Avg-ResTime,Avg-ProcTime,60%-ResTime,80%-ResTime,90%-ResTime,95%-ResTime,99%-ResTime,100%-ResTime,Throughput,Bandwidth,Succ-Ratio,Status,Detailed Status
s1-init,init-write,init,0,0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,0,0,N/A,completed,waiting @ 2021-12-28 17:50:53,booting @ 2021-12-28 17:50:53,submitting @ 2021-12-28 17:50:53,authing @ 2021-12-28 17:50:53,launching @ 2021-12-28 17:50:53,running @ 2021-12-28 17:50:53,closing @ 2021-12-28 17:50:58,completed @ 2021-12-28 17:50:58
s2-prepare,prepare-write,prepare,100000,800000000,18.4,18.34,20,30,30,40,110,440,8870.62,70964947.96,100%,completed,waiting @ 2021-12-28 17:50:53,booting @ 2021-12-28 17:51:00,submitting @ 2021-12-28 17:50:59,authing @ 2021-12-28 17:50:59,launching @ 2021-12-28 17:50:59,running @ 2021-12-28 17:50:59,closing @ 2021-12-28 17:51:14,completed @ 2021-12-28 17:51:14
s3-main,read,read,15249196,121993568000,8.96,8.57,10,20,20,30,40,670,8471.9,67775177.22,100%,completed,waiting @ 2021-12-28 17:50:53,booting @ 2021-12-28 17:51:17,submitting @ 2021-12-28 17:51:17,authing @ 2021-12-28 17:51:17,launching @ 2021-12-28 17:51:17,running @ 2021-12-28 17:51:17,closing @ 2021-12-28 18:21:19,completed @ 2021-12-28 18:21:19
s3-main,write,write,3812554,30500432000,39.58,39.53,20,40,150,180,270,1430,2118.12,16944927.76,100%,completed,waiting @ 2021-12-28 17:50:53,booting @ 2021-12-28 17:51:17,submitting @ 2021-12-28 17:51:17,authing @ 2021-12-28 17:51:17,launching @ 2021-12-28 17:51:17,running @ 2021-12-28 17:51:17,closing @ 2021-12-28 18:21:19,completed @ 2021-12-28 18:21:19
s4-cleanup,cleanup-delete,cleanup,200000,0,31.32,31.32,20,40,70,170,260,830,5126.7,0,100%,completed,waiting @ 2021-12-28 17:50:53,booting @ 2021-12-28 18:21:20,submitting @ 2021-12-28 18:21:19,authing @ 2021-12-28 18:21:19,launching @ 2021-12-28 18:21:19,running @ 2021-12-28 18:21:19,closing @ 2021-12-28 18:22:04,completed @ 2021-12-28 18:22:05
s5-dispose,dispose-delete,dispose,0,0,N/A,N/A,N/A,N/A,N/A,N/A,N/A,N/A,0,0,N/A,completed,waiting @ 2021-12-28 17:50:53,booting @ 2021-12-28 18:22:07,submitting @ 2021-12-28 18:22:07,authing @ 2021-12-28 18:22:07,launching @ 2021-12-28 18:22:07,running @ 2021-12-28 18:22:07,closing @ 2021-12-28 18:22:17,completed @ 2021-12-28 18:22:17
使用pandas进行读取
import pandas as pd
import numpy as np
import os
fpath = "E:\Python\AdvancedPython\data\w108-8K-80%Read20%Write-160Thread.csv"
w108 = pd.read_csv(fpath, sep=",", header=0)
print(w108.head())
columns = w108.columns # 获取列名
print("="*20)
print(columns)
print("="*20)
print(w108['Stage'])
返回的数据很奇怪
E:\Python\AdvancedPython\venv\Scripts\python.exe E:/Python/AdvancedPython/test1.py
Stage ... Detailed Status
s1-init init-write init 0 0 NaN NaN NaN ... completed @ 2021-12-28 17:50:58
s2-prepare prepare-write prepare 100000 800000000 18.40 18.34 20.0 ... completed @ 2021-12-28 17:51:14
s3-main read read 15249196 121993568000 8.96 8.57 10.0 ... completed @ 2021-12-28 18:21:19
write write 3812554 30500432000 39.58 39.53 20.0 ... completed @ 2021-12-28 18:21:19
s4-cleanup cleanup-delete cleanup 200000 0 31.32 31.32 20.0 ... completed @ 2021-12-28 18:22:05
[5 rows x 18 columns]
====================
Index(['Stage', 'Op-Name', 'Op-Type', 'Op-Count', 'Byte-Count', 'Avg-ResTime',
'Avg-ProcTime', '60%-ResTime', '80%-ResTime', '90%-ResTime',
'95%-ResTime', '99%-ResTime', '100%-ResTime', 'Throughput', 'Bandwidth',
'Succ-Ratio', 'Status', 'Detailed Status'],
dtype='object')
====================
s1-init init-write init 0 0 NaN NaN NaN
s2-prepare prepare-write prepare 100000 800000000 18.40 18.34 20.0
s3-main read read 15249196 121993568000 8.96 8.57 10.0
write write 3812554 30500432000 39.58 39.53 20.0
s4-cleanup cleanup-delete cleanup 200000 0 31.32 31.32 20.0
s5-dispose dispose-delete dispose 0 0 NaN NaN NaN
Name: Stage, dtype: float64
Process finished with exit code 0
按理说，以第一行作为列名，那Stage对应的数据就应该是s1-init、s2-prepare、s3-main这些内容，但实际返回的内容确实乱七八糟，毫无头绪，希望懂pandas的同学们能够帮我解惑。
