path=input('请输入文件夹路径: ')files=os.listdir(path)csv_list=[]forfinfiles:ifos.path.splitext(f)[1]=='.csv':csv_list.append(path+'\\'+f)else:passforiinrange(len(csv_list)):withopen(csv_list[i],'rb+')asff:lines=ff.readline()file_code=chardet.detect(lines)['encoding']dst_p...
在读取CSV文件时，可以指定编码格式为utf-8，如下所示：pythonCopy code import csv with open('file...
以下是一个简单的Python脚本示例，用于将GBK编码的CSV文件转换为UTF-8编码：import csvimport codecsdef convert_csv_encoding(input_file, output_file, input_encoding='gbk', output_encoding='utf-8'): with codecs.open(input_file, 'r', encoding=input_encoding) as file_in: with codecs.open(...
1importcsv,os2ifos.path.isfile('test.csv'):3with open("test.csv","r") as csvfile:4reader =csv.reader(csvfile)5#这里不需要readlines6forlineinreader:7printline importcsv#python2可以用file替代open#不存在则会创建文件with open("test.csv","w") as csvfile: writer=csv.writer(csvfile)#先...
file.close() 1. 完整代码示例 下面是完整的代码示例,展示了如何使用Python读取ANSI编码的csv文件: importcsvimportcodecs# 打开csv文件withcodecs.open('file.csv','r',encoding='ansi')asfile:reader=csv.reader(file)# 读取csv文件数据forrowinreader:# 处理每一行的数据# ...# 关闭文件file.close() ...
filewriter.writerow(header)forrow_listinfilereader: a_date= row_list[4]#选取date值在important_dates中的行ifa_dateinimportant_dates: filewriter.writerow(row_list) ## csv_pandas_2#!/usr/bin/env python3importpandas as pd input_file='D:\wangm\Documents\learning\code\python\supplier_data.csv'...
需要安装Python环境 对非技术用户不太友好 这里我给大家提供一个简单的Python脚本示例：import csvimport codecsdef convert_encoding(input_file, output_file, from_encoding='gbk', to_encoding='utf-8'): try: # 打开输入文件 with codecs.open(input_file, 'r', encoding=from_encoding) as fil...
import csv import codecs def data_write_csv(file_name, datas):#file_name为写入CSV文件的路径,datas为要写入数据列表 file_csv = codecs.open(file_name,'w+','utf-8')#追加 writer = csv.writer(file_csv, delimiter=' ', quotechar=' ', quoting=csv.QUOTE_MINIMAL) for data in datas: writer...
首先,我们需要使用Python的csv模块来读取CSV文件。下面是读取CSV文件的代码示例: importcsvdefread_csv_file(file_path):withopen(file_path,'r')asfile:reader=csv.reader(file)forrowinreader:# 处理每一行的数据process_row_data(row) 1. 2. 3.
import csv students = [] with open("names.csv") as file: reader = csv.reader(file) for row in reader: students.append({'name': row[0], 'class1': row[1]}) ## get_class -> lambda fuction for student in sorted(students, key=lambda student: student['class1'], reverse=True): ...