使用Python对Csv文件操作实例代码

No.,Name,Age,Score
1,mayi,18,99
2,jack,21,89
3,tom,25,95
4,rain,19,80

#!/usr/bin/python3
# -*- conding:utf-8 -*-
__author__ = 'mayi'

import csv

#读
with open("test.csv", "r", encoding = "utf-8") as f:
  reader = csv.reader(f)
  rows = [row for row in reader]

print(rows)

[['No.', 'Name', 'Age', 'Score'],
 ['1', 'mayi', '18', '99'],
 ['2', 'jack', '21', '89'],
 ['3', 'tom', '25', '95'],
 ['4', 'rain', '19', '80']]

#!/usr/bin/python3
# -*- conding:utf-8 -*-
__author__ = 'mayi'

import csv

#读取第二列的内容
with open("test.csv", "r", encoding = "utf-8") as f:
  reader = csv.reader(f)
  column = [row[1] for row in reader]

print(column)

['Name', 'mayi', 'jack', 'tom', 'rain']

# -*- conding:utf-8 -*-
__author__ = 'mayi'

import csv

#读
with open("test.csv", "r", encoding = "utf-8") as f:
  reader = csv.DictReader(f)
  column = [row for row in reader]

print(column)

[{'No.': '1', 'Age': '18', 'Score': '99', 'Name': 'mayi'},
 {'No.': '2', 'Age': '21', 'Score': '89', 'Name': 'jack'},
 {'No.': '3', 'Age': '25', 'Score': '95', 'Name': 'tom'},
 {'No.': '4', 'Age': '19', 'Score': '80', 'Name': 'rain'}]

#!/usr/bin/python3
# -*- conding:utf-8 -*-
__author__ = 'mayi'

import csv

#读取Name列的内容
with open("test.csv", "r", encoding = "utf-8") as f:
  reader = csv.DictReader(f)
  column = [row['Name'] for row in reader]
print(column)

['mayi', 'jack', 'tom', 'rain']

#!/usr/bin/python3
# -*- conding:utf-8 -*-
__author__ = 'mayi'

import csv

#写：追加
row = ['5', 'hanmeimei', '23', '81']
out = open("test.csv", "a", newline = "")
csv_writer = csv.writer(out, dialect = "excel")
csv_writer.writerow(row)