尝试读取 csv 文件信息，并将其打印如下

Question

我必须使用 csv 模块从以下信息中导入数据。

ALPHABETICAL ORDER,,,,,,,,,,,,,
,,Positions,,,,Classifications,,,,,,,
Company,Booth,Full-Time,"Full-Time Visa Sponsor",Part-Time,Internship,Freshman,Sophomore,Junior,Senior,Post-Bacs,MS,PhD,Alumni
AIG,10,,,,Yes,,,Jr,,,MS,,
Baylor College of Medicine,19,Yes,Yes,,,,,,,,,,Recent
CGG,17,Yes,Yes,,,,,,,,MS,PhD,Recent
Citi,27/28,Yes,,,Yes,,,Jr,Sr,,,,
ExxonMobil,11,Yes,,,Yes,Fr,Soph,Jr,Sr,PB,,,
,...
Flow-Cal Inc.,16,Yes,,,Yes,,,Jr,Sr,,,,All
Global Shop Solutions,18,Yes,,,Yes,,,,Sr,PB,,,All
Harris County CTS,22,Yes,,,Yes,,,Jr,Sr,PB,MS,PhD,All
HCSS,29,Yes,,,Yes,Fr,Soph,Jr,Sr,PB,MS,,Recent
Hitachi Consulting,13,Yes,,,,,,,Sr,,MS,,
HP Inc.,1,Yes,,,Yes,,,Jr,,,MS,,Recent
INT Inc.,20,Yes,Yes,,Yes,,,Jr,Sr,,MS,PhD,
JPMorgan Chase & Co,3,Yes,,,Yes,,,Jr,Sr,,,,
Leidos,390,Yes,,,Yes,Fr,Soph,Jr,Sr,PB,MS,,
McKesson,26,Yes,,,,,,,Sr,,,,
,,,,,,,,,,,,,
MRE Consulting Ltd.,2,Yes,,,,,,,Sr,PB,MS,,All
NetIQ,7,,,,Yes,,Soph,Jr,Sr,PB,,,
PROS,21,Yes,,,,,,,Sr,,MS,PhD,All
San Jacinto College  ,14,,,,Yes,,Soph,Jr,Sr,PB,MS,,
SAS,4,Yes,,,Yes,Fr,Soph,Jr,Sr,PB,MS,,Recent
Smartbridge,8,Yes,,,,,,,Sr,PB,MS,,
Sogeti USA,15,Yes,,,,,,,Sr,PB,MS,,
Southwest Research Institute,12,Yes,,,Yes,,,Jr,Sr,PB,MS,PhD,All
The Reynolds and Reynolds Company,23,Yes,Yes,,Yes,Fr,Soph,Jr,Sr,PB,,,All
UH Enterprise Systems,9,Yes,Yes,Yes,Yes,Fr,Soph,Jr,Sr,PB,MS,PhD,All
U.S. Marine Corps,25,Yes,,,Yes,Fr,Soph,Jr,Sr,PB,MS,,All
ValuD Consuting LLC,5,Yes,,,,,,,Sr,PB,,,All
Wipro,24,Yes,,,,,,,Sr,PB,,,
BOOTH ORDER,,,,,,,,,,,,,
,Booth,Positions,,,,Classifications,,,,,,,
Company,#,Full-Time,"Full-Time
Visa Sponsor",Part-Time,Internship,Freshman,Sophomore,Junior,Senior,Post-Bacs,MS,PhD,Alumni
HP Inc.,1,Yes,,,Yes,,,Jr,,,MS,,Recent
"MRE Consulting, Ltd.",2,Yes,,,,,,,Sr,PB,MS,,All
JPMorgan Chase & Co,3,Yes,,,Yes,,,Jr,Sr,,,,
SAS,4,Yes,,,Yes,Fr,Soph,Jr,Sr,PB,MS,,Recent
ValuD Consuting LLC,5,Yes,,,,,,,Sr,PB,,,All
NetIQ,7,,,,Yes,,Soph,Jr,Sr,PB,,,
Smartbridge,8,Yes,,,,,,,Sr,PB,MS,,
UH Enterprise Systems,9,Yes,Yes,Yes,Yes,Fr,Soph,Jr,Sr,PB,MS,PhD,All
AIG,10,,,,Yes,,,Jr,,,MS,,
ExxonMobil,11,Yes,,,Yes,Fr,Soph,Jr,Sr,PB,,,
Southwest Research Institute,12,Yes,,,Yes,,,Jr,Sr,PB,MS,PhD,All
Hitachi Consulting,13,Yes,,,,,,,Sr,,MS,,
San Jacinto College  ,14,,,,Yes,,Soph,Jr,Sr,PB,MS,,
Sogeti USA,15,Yes,,,,,,,Sr,PB,MS,,
"Flow-Cal, Inc.",16,Yes,,,Yes,,,Jr,Sr,,,,All
CGG,17,Yes,Yes,,,,,,,,MS,PhD,Recent
Global Shop Solutions,18,Yes,,,Yes,,,,Sr,PB,,,All
Baylor College of Medicine,19,Yes,Yes,,,,,,,,,,Recent
"INT, Inc.",20,Yes,Yes,,Yes,,,Jr,Sr,,MS,PhD,
PROS,21,Yes,,,,,,,Sr,,MS,PhD,All
Harris County CTS,22,Yes,,,Yes,,,Jr,Sr,PB,MS,PhD,All
The Reynolds and Reynolds Company,23,Yes,Yes,,Yes,Fr,Soph,Jr,Sr,PB,,,All
Wipro,24,Yes,,,,,,,Sr,PB,,,
U.S. Marine Corps,25,Yes,,,Yes,Fr,Soph,Jr,Sr,PB,MS,,All
McKesson,26,Yes,,,,,,,Sr,,,,
Citi,27/28,Yes,,,Yes,,,Jr,Sr,,,,
HCSS,29,Yes,,,Yes,Fr,Soph,Jr,Sr,PB,MS,,Recent
Leidos,30,Yes,,,Yes,Fr,Soph,Jr,Sr,PB,MS,,

所以我必须从第 2 行获取信息并将其打印出来

0 Company
1 Booth
2 Full-Time
3 Full-Time Visa Sponsor
4 Part-Time
5 Internship
6 Freshman
7 Sophomore
8 Junior
9 Senior
10 Post-Bacs
11 MS
12 PhD
13 Alumni

我不确定如何让它逐行打印，并在左侧显示数字。这是我迄今为止尝试过的代码

import csv
filename = "Spring.csv"                     #I assigned the file to a variable
f = open(filename)                          #I couldn't leave it default due to UTF-8 error from orginial
reader = csv.reader(f)

output = []


with open( 'Spring.csv', 'r') as t:
    rows = list(reader)
    output.append(rows[2])


print(output)

我现在的输出如下

[['Company', 'Booth', 'Full-Time', 'Full-Time Visa Sponsor', 'Part-Time', 'Internship', 'Freshman', 'Sophomore', 'Junior', 'Senior', 'Post-Bacs', 'MS', 'PhD', 'Alumni']]

我不能为此使用 pandas 模块。这是一个介绍性的COSC课程。 :)

我还认为我稍后必须为该表分配值 带着问题。

我不想让这个问题更令人困惑，但我认为 那是指索引它。

Answer 1

使用enumerate

例如：

import csv
filename = "Spring.csv"                     #I assigned the file to a variable
f = open(filename)                          #I couldn't leave it default due to UTF-8 error from orginial
reader = csv.reader(f)

output = []


with open( 'Spring.csv', 'r') as t:
    rows = list(reader)
    for i,v in enumerate(rows[2]):           #---->enumerate
        print(i, v)

enumerate