Let's talk about reading and writing CSV files in python

This article brings you relevant knowledge aboutPython, which mainly introduces the relevant content of reading and writing CSV files, including importing CSV libraries and reading and writing CSV files. Let’s take a look at the content below. I hope it will be helpful to everyone.

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CSV (Comma-Separated Values) is a comma-separated value, a A comma-separated text file stored in rows. All values are represented as string types (note: numbers are of string type).

If there is Chinese in the CSV, it should be read and written in utf-8 encoding.

1. Import the CSV library

There is a built-in library for csv files in Python that can be used. When we want to read and write csv files, we can directly import them.

import csv

2. Read and write CSV files

##2.1 Write CSV files in list form

Syntax: csv.writer(f):

Writer supports writerow (list) single-line writing, and writerows (nested list) batch writing of multiple lines, without manual saving.

import csv header = ['name','age','QQ_num','wechat']data = [['suliang','21','787991021','lxzy787991021']]with open ('information.csv','w',encoding='utf-8',newline='') as fp: # 写 writer =csv.writer(fp) # 设置第一行标题头 writer.writerow(header) # 将数据写入 writer.writerows(data)

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Note that when opening the file, the format should be specified as w, and the text should be written.When opening the file, specify not to add automatically New line newline='', otherwise there may be one more blank line for each line written.

2.2 Read CSV files in list form

Syntax: csv.reader(f, delimiter=', ')

reader is a generator, reading one line at a time, each line of data is in list format, the delimiter can be specified through the delimiter parameter

import csvwith open('information.csv',encoding='utf-8')as fp: reader = csv.reader(fp) # 获取标题 header = next(reader) print(header) # 遍历数据 for i in reader: print(i)

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When reading a file, the file path must be written correctly. If you are not sure, you can write the absolute path. To obtain the content of csv, you need to traverse and then output.

2.3 Write csv file in dictionary form

Syntax: csv.DicWriter(f):

When writing, you can use writeheader() to write the header, and then use writerow (dictionary format data rows) or writerows (multiple rows of data)

import csv header = ['name','age']data = [{'name':'suliang','age':'21'}, {'name':'xiaoming','age':'22'}, {'name':'xiaohu','age':'25'}]with open ('information.csv','w',encoding='utf-8',newline='') as fp: # 写 writer =csv.DictWriter(fp,header) # 写入标题 writer.writeheader() # 将数据写入 writer.writerows(data)

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2.4 Read csv files in dictionary form

Syntax: csv.DicReader(f, delimiter=',')

Directly The title and each column of data are assembled into an ordered dictionary (OrderedDict) format. There is no need to read the title row separately.

import csvwith open('information.csv',encoding='utf-8')as fp: reader = csv.DictReader(fp) for i in reader print(i)

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Attachment: csv reading and writing mode

r: Open the file in reading mode, and can read file information

w: Open the file in writing mode , can write information to the file. If the file exists, clear it and then write

a: Open the file in append mode. When opening the file, the pointer can be moved to the end. If the file does not exist, create it

r: Open the file in reading and writing mode, you can read and write the file

w: Erase the file content, open the file in reading and writing mode

a: Open the file in read-write mode, the file pointer moves to the end

b: Open the file in binary mode

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