#先写入columns_name writer.writerow(["index","a_name","b_name"]) #写入多行用writerows writer.writerows([[0,1,3],[1,2,3],[2,3,4]]) index a_name b_name013123234 读取csv文件用reader import csv with open("test.csv","r")ascsvfile: reader=csv.reader(csvfile) #这里不需要readli...
with open("/路径/文件名.csv","w") as csvfile: #'w'表示写操作,有则修改,无则新建 write=csv.writer(csvfile) write.writerow(data) #写入一行操作,data为可迭代类型,如果为字符串,则单个字符为一个元素 write.writerows(data) #写入多行操作,data中一个元素为一行 1. 2. 3. 4. 5. 6. 7. ...
import csv # 要写入的数据 data = [ ['姓名', '年龄', '城市'], ['张三', 28, '北京'], ['李四', 34, '上海'], ['王五', 25, '广州'] ] # 将数据写入CSV文件 with open('output.csv', 'w', newline='', encoding='utf-8') as file: writer = csv.writer(file) writer.writero...
另一种方法用csv包,一行一行写入 import csv 1. #python2可以用file替代open with open(“test.csv”,“w”) as csvfile: writer = csv.writer(csvfile) </span><span style="color: #008000;">#</span><span style="color: #008000;">先写入columns_name</span> writer.writerow([<span style="c...
第一种:使用csv模块,写入到csv格式文件 # -*- coding: utf-8 -*- import csv with open("my.csv", "a", newline='') as f: writer = csv.writer(f) writer.writerow(["URL", "predict", "score"]) row = [['1', 1, 1], ['2', 2, 2], ['3', 3, 3]] for r in row: wri...
一、CSV格式: csv是Comma-Separated Values的缩写,是用文本文件形式储存的表格数据。 1.csv模块&reader方法读取: import csv with open('enrollments.csv', 'rb') asf: reader =csv.reader(f) print reader out:<_csv.reader object at 0x00000000063DAF48> ...
2. Write a CSV File 2.1. Usingcsv.writer() Thecsv.writer()method returns a writer object responsible for converting the user’s data into delimited strings on the given file-like object. importcsv# Sample data to be written to the CSV filedata=[['Name','Age','City','Occupation','Ema...
这一次的表头header = ["标题", "发布时间"]# 使用文件对象和表头初始化 DictWriter 对象writer = CSV.DictWriter(fo, header)# 写入表头writer.writeheader()# 将上一步计算的字典列表写入 CSV 文件中writer.writerows(news_dict_list)# 关闭文件对象fo.close()执行之后，在源代码文件夹下会生成 news.CSV ...
writer.writerow({'书名':book['title'],'作者':book['author']}) exceptUnicodeEncodeError: print("编码错误, 该数据无法写到文件中, 直接忽略该数据") 这种方式是逐行往 CSV 文件中写数据, 所以效率会比较低。如果想批量将数据写到 CSV 文件中,需要用到pandas库。