然后,利用 CSV writer 对象的 writerow() 或者 writerows() 方法将数据写入文件。 最后,关闭文件。 以下代码实现了上面的步骤: import csv # open the file in the write mode f = open('path/to/csv_file', 'w') # create the csv writer writer = csv.writer(f) # write a row to the csv fil...
csv_file = open('./测试数据.csv', 'w', encoding='utf-8-sig', newline='') csv_writer = csv.writer(csv_file) 1. 2. 2.2.2、写入CSV文件 csv文件写入对象提供了单条记录写入(writerow)与多条记录同时写入(writerows)的方法,大大的便捷了我们去写入csv文件。(我的python环境为3.9) class _writer...
import csv #导入CSV with open("D:\egg.csv","wb") as csvfile #新建一个叫egg.csv”的文件在D盘。 a=csv.writer(csvfile) #以CSV的格式 写数据到文件CSVFILE中。 a.writerow(["name","age","tel"]) #写入的数据。 print csvfile #打印 csvfile.close #关闭文件 写CSV文件方法二: 与方法一原...
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. ...
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。
import csv #python2可以用file替代open with open("test.csv","w")ascsvfile: writer=csv.writer(csvfile) #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]]) ...
1.python读写csv文件 importcsv#python2可以用file替代openwithopen('test.csv','w')ascsvFile:writer=csv.writer(csvFile)#先写columns_namewriter.writerow(["index","a_name","b_name"])#写入多行用writerowswriter.writerows([[1,2,3],[0,1,2],[4,5,6]])#用reder读取csv文件withopen('test...
用Python写入CSV文件: import csv with open('Titanic.csv', 'r') as csv_file: csv_reader = csv.reader(csv_file) with open('new_Titanic.csv', 'w') as new_file: # Open a new file named 'new_titanic.csv' under write mode csv_writer = csv.writer(new_file, delimiter=';') #making...
Thecsvmodule provides thecsv.writer()function to write to a CSV file. Let's look at an example. importcsvwithopen('protagonist.csv','w', newline='')asfile: writer = csv.writer(file) writer.writerow(["SN","Movie","Protagonist"]) writer.writerow([1,"Lord of the Rings","Frodo Bag...