Python标准库之csv(1)

1.Python处理csv文件之csv.writer()

import csvdef csv_write(path,data):with open(path,'w',encoding='utf-8',newline='') as f:writer = csv.writer(f,dialect='excel')for row in data:writer.writerow(row)return True

调用上面的函数

data = [['Name','Height'],['Keys','176cm'],['HongPing','160cm'],['WenChao','176cm']
]csv_write('test.csv',data)

运行结果

 

2.Python处理csv文件之csv.reader()

def csv_read(path):data = []with open(path,'r',encoding='utf-8') as f:reader = csv.reader(f,dialect='excel')for row in reader:data.append(row)return data

调用上面的函数

data = csv_read('test.csv')
print(data)

运行结果

[['Name', 'Height'], ['Keys', '176cm'], ['HongPing', '160cm'], ['WenChao', '176cm']]

3.Python处理csv文件之csv.DictWriter()

def csv_dict_write(path,head,data):with open(path,'w',encoding='utf-8',newline='') as f:writer = csv.DictWriter(f,head)writer.writeheader()writer.writerows(data)return True

调用上面的函数

head = ['Name','Age']data = [{'Name':'Keys', 'Age':28},{'Name':'HongPing', 'Age':29},{'Name':'WenChao', 'Age':15}
]csv_dict_write('test2.csv',head,data)

运行结果

 

4.Python处理csv文件之csv.DictReader()

def csv_dict_read(path):with open(path,'r',encoding='utf-8') as f:reader = csv.DictReader(f,dialect='excel')for row in reader:print(row['Name'])

调用上面的函数

 

csv_dict_read('test2.csv')

 

运行结果

Keys
HongPing
WenChao