import csv headers = ['Name', 'Age', 'City'] with open('data.csv', 'w', newline='') as file: writer = csv.writer(file) writer.writerow(headers) 这样就成功地使用csvwriter在Python中编写了headers列表,并将其写入CSV文件中。 需要注意的是,上述示例中的'data.csv'是CSV文件的文件名,可...
rows=[(1001,'qiye','qiye_pass',20,'china'),(1002,'mary','mary_pass',23,'usa')] f=open("csvfile.csv",'a+') wf =csv.writer(f) wf.writerow(headers) wf.writerows(rows) f.close() 1. 2. 3. 4. 5. 6. 7. 8. csv模块相关方法和属性 csv.writer(fileobj [, dialect=’excel...
用csv模块写csv文件,主要用到writerow和writerows这两个方法,前者是写入一行,后者是写入多行。 import csv headers = ['name', 'age'] row_1 = ['小明', '14'] row_2 = ['小刚', '15'] with open("data.csv", "w", encoding='utf-8', newline='') as csvfile: writer = csv.writer(csv...
('3','Bruce','28','195')] with open('wen.csv','wb') as f:#这里以‘wb’的方式打开,如果不用二进制b,则会隔一行存储一行f_csv =csv.writer(f) f_csv.writerow(headers)#写入1行(列索引) f_csv.writerows(lines)#写入多行(数据) (二) python3情况下 在python3的情况下比较好办,只需要...
# 写入csv文件,'a+'是追加模式 try: ifnumber ==1: csv_headers = ['书名','作者'] data.to_csv(fileName, header=csv_headers, index=False, mode='a+', encoding='utf-8') else: data.to_csv('fileName, header=False, index=False, mode='a+', ...
]withopen('stocks.csv','w')asf: f_csv=csv.writer(f) f_csv.writerow(headers) f_csv.writerows(rows) 但是上述代码并不能得到我们想要的格式,它是横着排的,其实excel只有一行数据。 无奈,我不知道问题出在哪里,我只能一行行的写入。 foriin range(0, len(list)): ...
我们直接上一个CSV文件导出案例。 import csv import codecs tests = models.Test.objects.all() filename = 'test.csv' with open(filename, 'wb') as test_file: headers = [ '性别','年龄','身份证', ] test_file.write(codecs.BOM_UTF8) # 解决乱码问题 ...
books.append(book)data=pd.DataFrame(books)# 写入csv文件,'a+'是追加模式try:ifnumber==1:csv_headers=['书名','作者']data.to_csv(fileName,header=csv_headers,index=False,mode='a+',encoding='utf-8')else:data.to_csv('fileName, header=False, index=False, mode='a+', encoding='utf-8'...
write_csv.py #!/usr/bin/python import csv nms = [[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]] with open('numbers2.csv', 'w') as f: writer = csv.writer(f) for row in nms: writer.writerow(row) The script writes numbers into the numbers2.csv file. The writerow...
writer = csv.writer(f) writer.writerows(datas) 四、使用DictReader和DictWriter对象来操作 使用DictReader可以像python中字典一样的操作数据 1、使用DictReader读取数据 import csv with open('test.csv') as f: reader = csv.DictReader(f) # 先读取标题 ...