• 技术文章 >Python技术 >Python高级

    python中不同的CSV功能和使用

    2021-02-25 17:22:48原创3478

    banner65(2).png

    在之前的文章中介绍过为什么python学习中会使用CSV文件格式?这边文章将会详细介绍python中不同的CSV功能和使用。

    一、CSV模块功能

    在CSV模块下,可以找到以下功能

    image.png

    二、Python中CSV文件操作

    加载CSV文件后,您可以执行多种操作。将在Python中显示对CSV文件的读取和写入操作

    在Python中读取CSV文件:

    import csv 
     
    with open('Titanic.csv','r') as csv_file: #Opens the file in read mode
        csv_reader = csv.reader(csv_file) # Making use of reader method for reading the file
     
        for line in csv_reader: #Iterate through the loop to read line by line
            print(line)

    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 use of write method
     
            for line in csv_reader: # for each file in csv_reader
                csv_writer.writerow(line) #writing out to a new file from each line of the original file

    读取CSV文件作为字典

    import csv 
     
    with open('Titanic.csv','r') as csv_file: #Open the file in read mode
        csv_reader = csv.DictReader(csv_file) #use dictreader method to reade the file in dictionary
     
        for line in csv_reader: #Iterate through the loop to read line by line
            print(line)

    作为字典写入CSV文件

    import csv 
     
    mydict = [{'Passenger':'1', 'Id':'0', 'Survived':'3'}, #key-value pairs as dictionary obj
              {'Passenger':'2', 'Id':'1', 'Survived':'1'},
              {'Passenger':'3', 'Id':'1', 'Survived':'3'}]
     
    fields = ['Passenger', 'Id', 'Survived'] #field names
     filename = 'new_Titanic.csv' #name of csv file
     with open('new_Titanic.csv', 'w')as new_csv_file: #open a new file 'new_titanic,csv' under write mode
        writer = csv.DictWriter(new_csv_file, fieldnames=fields) 
        writer.writeheader() #writing the headers(field names)
     
        writer.writerows(mydict) #writing data rows
    专题推荐:csv
    品易云
    上一篇:python如何实现均方误差和均方根误差? 下一篇:python迭代器是什么

    相关文章推荐

    • 使用多线程让Python应用飞起来• Elasticsearch基本介绍及其与Python的对接实现• Python使用Pillow添加图片水印• 深究Python中的asyncio库-线程并发函数• 深究Python中的asyncio库-shield函数

    全部评论我要评论

    © 2021 Python学习网 苏ICP备2021003149号-1

  • 取消发布评论
  • 

    Python学习网