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Python读取csv的常用方法

2016-10-20 11:32 639 查看
csv是Comma-Separated Values的缩写,是用文本文件形式储存的表格数据,比如如下的表格:



假设上述csv文件保存为”A.csv”,利用Python自带的csv模块,可以实现多种方式的读取:

1.以行为单位存储csv内容:

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.读取csv的某一列 (用列的序号):

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.读取csv的某一行 (用行的序号):

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.使用字典存储csv内容:

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.读取csv的某一列(用列的标题):

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.读取csv的某一行(用行的标题):

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'}
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标签:  python csv 读取