csv是Comma-Separated Values的縮寫，是用文字檔案形式儲存的表格資料，比如如下的表格：

假設上述csv檔案儲存為”A.csv”，利用Python自帶的csv模組，可以實現多種方式的讀取：

1.以行為單位儲存csv內容：

import csv
with open('A.csv','rb') as csvfile:
    reader = csv.reader(csvfile)
    rows= [row for row in reader]
print rows

得到

[['No.', 'Name', 'Age', 'Score'],
['1', 'Apple'
 
, '12', '98'],
['2', 'Ben', '13', '97'],
['3', 'Celia', '14', '96'],
['4', 'Dave', '15', '95']]

2.讀取csv的某一列 （用列的序號）：

import csv
with open('A.csv','rb') as csvfile:
    reader = csv.reader(csvfile)
    column = [row[2] for row in reader]
print column

得到

['Age', '12', '13', '14', '15']

3.讀取csv的某一行 （用行的序號）：

import csv
with open('A.csv','rb') as csvfile:
    reader = csv.reader(csvfile)
    for i,rows in enumerate(reader):
        if i == 2:
        row = rows
print row 

得到

['2', 'Ben', '13', '97']

4.使用字典儲存csv內容：

import csv
with open('A.csv','rb') as csvfile:
    reader = csv.DictReader(csvfile)
    column = [row for
 
 row in reader]
print column

得到

[{'Age': '12', 'No.': '1', 'Score': '98', 'Name': 'Apple'},
{'Age': '13', 'No.': '2', 'Score': '97', 'Name': 'Ben'},
{'Age': '14', 'No.': '3', 'Score': '96', 'Name': 'Celia'},
{'Age': '15', 'No.': '4', 'Score': '95', 'Name': 'Dave'}]

5.讀取csv的某一列（用列的標題）：

import csv
with open('A.csv','rb') as csvfile:
    reader = csv.DictReader(csvfile)
    column = [row['Age'] for row in reader]
print column

得到

 ['12', '13', '14', '15']

6.讀取csv的某一行（用行的標題）：

import csv
with open('A.csv','rb') as csvfile:
    reader = csv.DictReader(csvfile)
    for row in reader:
        if row['Name']=='Ben':
        print row

得到

 {'Age': '13', 'No.': '2', 'Score': '97', 'Name': 'Ben'}