'B':i*2,'C':i*3}# 创建数据df=df.append(data,ignore_index=True)# 将数据添加到DataFrame# 保存DataFrame到CSV文件df.to_csv('data.csv',index=False)# 将DataFrame保存为CSV文件,不保存索引
response=requests.get(url)data=response.json()# 第二步:解析数据extracted_data=[]foritemindata:extracted_data.append({'name':item['name'],'value':item['value']})# 第三步:检查并写入CSVcsv_file='data.csv'ifnotos.path.isfile(csv_file):df=pd.DataFrame(extracted_data)df.to_csv(csv_file...
关闭CSV文件:使用close()方法关闭CSV文件,以释放系统资源。 下面是一个完整的示例代码: 代码语言:txt 复制 import csv def append_row_to_csv(file_path, row_data): with open(file_path, 'a', newline='') as file: writer = csv.writer(file) writer.writerow(row_data) # 示例用法 data ...
第一种:使用csv模块,写入到csv格式文件 # -*- coding: utf-8 -*- importcsvwith 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: writer...
python爬取信息并保存至csv importcsvimportrequestsfrombs4importBeautifulSoup res=requests.get('http://books.toscrape.com/catalogue/category/books/travel_2/index.html') html=res.text soup=BeautifulSoup(html,'html.parser') maindiv=soup.find_all(class_="col-xs-6 col-sm-4 col-md-3 col-lg-3"...
books.append(book)data=pd.DataFrame(books)# 写入csv文件,'a+'是追加模式try:ifnumber==1:csv_headers=['书名','作者']data.to_csv(fileName,header=csv_headers,index=False,mode='a+',encoding='utf-8')else:data.to_csv('fileName, header=False, index=False, mode='a+', encoding='utf-8'...
books.append(book) data = pd.DataFrame(books) # 写入csv文件,'a+'是追加模式 try: ifnumber ==1: csv_headers = ['书名','作者'] data.to_csv(fileName, header=csv_headers, index=False, mode='a+', encoding='utf-8') else: data.to_csv('fileN...
books.append(book)data = pd.DataFrame(books)# 写入csv文件,'a+'是追加模式try:if number == 1:csv_headers = ['书名','作者']data.to_csv(fileName, header=csv_headers,index=False, mode='a+', encoding='utf-8')else:data.to_csv('fileName, header=False, index=False, mode='a+', ...
books.append(book) data = pd.DataFrame(books) # 写入csv文件,'a+'是追加模式 try: if number == 1: csv_headers = ['书名', '作者'] data.to_csv(fileName, header=csv_headers, index=False, mode='a+', encoding='utf-8') else: data.to_csv('fileName, header=False, index=False, ...
sheet.append(data) workbook.save(result_path) print('*** 生成Excel文件 ' + result_path + ' *** \n') if __name__ == '__main__': write_excel_file("D:\core\\") 第三种,使用pandas,可以写入到csv或者xlsx格式文件 1 2 3 4 5 6 import pandas as pd result_list = [['1', 1...