帮我修改一下代码， with open('./第{}页.txt'.format(i), 'w', encoding='utf-8') as fp: for num in dish_urls: new_urls=f'https://www.haochu.com{num}' #把菜品具体网址作为新url,获取每道菜所需的食材 print(new_urls) response2=requests.get(url=new_urls,headers=headers) html_data2 = etree.HTML(response2.text) #新网址的html——data2 ints_names = html_data2.xpath('//div[@class="ints-cover"]/img/@alt')#菜品所需食材 print(ints_names) for dish_name, dish_heat,dish_url in zip(dish_names, dish_heats,dish_urls): dish = f'{dish_name},{dish_heat},{ints_names},https://www.haochu.com{dish_url}\n' fp.write(dish),为什么ints_names只有一个

import re import os import json masscan_path = "D:/0.脚本小子/Tools/masscan/masscan.exe" masscan_parser_path = "../Tools/Masscan-to-CSV/masscan_xml_parser.py" nmap_parser_path = "../Tools/Nmap-Scan-to-CSV/nmap_xml_parser.py" port_list_path = "./dict/ports-http-iamthefrogy.txt" port_list_fp = open(port_list_path, "r") port_list = port_list_fp.readline().strip() port_list_fp.close() # 判断IP是否符合规范 def check_ip(data): ip_pattern = re.compile(r'((2(5[0-5]|[0-4]\d))|[0-1]?\d{1,2})(\.((2(5[0 - 5] | [0 - 4]\d)) | [0 - 1]?\d{1, 2})){3}') result = ip_pattern.match(data) if result is None: return None else: return result.group(0) def filter_ip(): ip_filepath = "./result/ip.txt" # IP数据保存路径 ip_fp = open(ip_filepath, 'r') ip_list = ip_fp.readlines() ip_fp.close() ip_fp = open(ip_filepath, 'w') for ip in ip_list: ip = check_ip(ip) if ip is not None: ip_fp.write(ip + '\n') ip_fp.close() # NMap: csv -> json，提取IP和端口的映射 def read_nmap(data_name): ip2port = {} for item in open("./result/nmap/" + data_name + '.csv'): if item.count(',') > 5: ip = item.strip().split(',')[0] port = item.strip().split(',')[4] if ip != "IP": if ip in ip2port.keys(): ip2port[ip].append(port) else: ip2port[ip] = [port] with open("./result/nmap/" + data_name + '.json', "w") as json_fp: json.dump(ip2port, json_fp) # 执行nmap命令将数据保存为xml与csv格式 def nmap(save_name, need_scan=True): if need_scan: cmd = "nmap -Pn -p {} -oX {} -iL {}".format(port_list, "./result/nmap/" + save_name + ".xml", "./result/ip.txt") os.system(cmd) cmd = "python3 {} -f {} -csv {}".format( nmap_parser_path, "./result/nmap/" + save_name + ".xml", "./result/nmap/" + save_name + ".csv" ) os.system(cmd) read_nmap(save_name) # Masscan: csv -> json，提取IP和端口的映射 def read_masscan(data_name): ip2port = {} for item in open("./result/masscan/" + data_name + '.csv'): if item.count(',') > 5: ip = item.strip().split(',')[0] port = item.strip().split(',')[3] if ip != "IpAddr": if ip in ip2port.keys(): ip2port[ip].append(port) else: ip2port[ip] = [port] with open("./result/masscan/" + data_name + '.json', "w") as json_fp: json.dump(ip2port, json_fp) # 执行masscan命令将数据保存为xml与csv格式 def masscan(save_name, need_scan=True): if need_scan: cmd = "{} -iL {} -Pn -p {} -oX {}".format( masscan_path, "./result/ip.txt", port_list, "./result/masscan/" + save_name + ".xml" ) os.system(cmd) cmd = "python3 {} -f {} -csv {}".format( masscan_parser_path, "./result/masscan/" + save_name + ".xml", "./result/masscan/" + save_name + ".csv" ) os.system(cmd) read_masscan(save_name) # 端口探测主函数 def search_port(conf, filename): filter_ip() if conf['use_nmap']: nmap(filename) if conf['use_masscan']: masscan(filename) if name == 'main': filter_ip() fp = open("./config.json", "r", encoding="utf-8") conf_json = json.load(fp) config = conf_json['ports'] search_port(config, '2023_1_8')

这段代码在导入 re、os、json 三个模块，并定义了 masscan_path、masscan_parser_path、nmap_parser_path、port_list_path 四个变量。masscan_path 变量定义了 masscan 程序的路径，masscan_parser_path 变量定义了 ...

# --coding = utf-8-- import requests import re import os url = 'https://pic.netbian.com/' headers = { 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36 Edg/114.0.1823.67' } requests = requests.get(url=url, headers=headers) requests = encoding = requests.apparent_encoding parr = re.compile('src="(/u.?)".alt="(.?)"') image = parr.findall(requests.text) path = '测试' if not os.path.isdir(path): os.mkdir(path) for i in image: link = i[0] # 获取链接 name = i[1] # 获取名字 with open(path + "/{}.jpg".format(name), "wb") as img: res = requests.get("https://pic.netbian.com/" + link) img.write(res.content) img.close() print(name+".jpg 获取成功....")

根据你提供的代码，问题出现在以下两行： python requests = encoding = requests.apparent_encoding image = parr.findall(requests.text) 解决这个问题的方法是修改变量名，因为你在代码中重复使用了...

# coding:utf-8 import re import time import requests import lxml.html from lxml import etree urls = ['https://www.xxddxs.com/book/{}'.format(i) for i in range(1, 20)] path = r'D:\py\venv\Scripts\xiaoshuo' # path = './' sleep = 1 def get_text(url): r = requests.get(url) r.encoding = 'utf-8' selector = etree.HTML(r.text) # Get the book title from the page book_info = selector.xpath('/html/body/div[5]')[0] title = book_info.xpath("//h1")[0].text # title = .xpath('/html/body/div[5]/div[2]/h1') print(title) # If no title found, print an error message and return early if len(title) == 0: print(f"No title found for {url}") return # Get the text of the chapter chapter_list = selector.xpath('/html/body/div[5]/dl/dd/a') last_chapter_num = re.search(r'(\d)\.html$',chapter_list[-1].attrib.get('href')).group(1) # Write the text to a file in the specified directory with open(title + ".txt", 'w', encoding='utf-8') as f: for num in range(1, int(last_chapter_num)+1): content_url = url + f'/{num}.html' print(content_url) time.sleep(sleep) # 防止请求量过多导致网页拒绝访问 try: r = requests.get(content_url, timeout=30) except: print('连接失败，重试一次') r = requests.get(content_url, timeout=30) r.encoding = 'utf-8' content_dom = lxml.html.fromstring(r.text) content = content_dom.xpath('//[@id="chaptercontent"]')[0].text_content() f.writelines(content) if name == 'main': for url in urls: get_text(url) 这个代码的运行思路

这个代码的运行思路如下： 1. 定义需要爬取小说的URL列表和保存小说的文件路径 2. 定义一个函数 get_text 用来获取小说内容，其中包括小说标题，小说章节信息和小说正文 3. 在 get_text 函数中，先通过URL获取...

def open_file(self): config_file = 'config/fold.json' # config = json.load(open(config_file, 'r', encoding='utf-8')) config = json.load(open(config_file, 'r', encoding='utf-8')) open_fold = config['open_fold'] if not os.path.exists(open_fold): open_fold = os.getcwd() name, _ = QFileDialog.getOpenFileName(self, 'Video/image', open_fold, "Pic File(.mp4 .mkv .avi .flv " ".jpg .png)") if name: self.det_thread.source = name # self.statistic_msg('Loaded file：{}'.format(os.path.basename(name))) config['open_fold'] = os.path.dirname(name) config_json = json.dumps(config, ensure_ascii=False, indent=2) with open(config_file, 'w', encoding='utf-8') as f: f.write(config_json) self.stop()

这段代码是用来打开一个视频或者图片文件，并且会记住上一次打开的文件夹位置。具体来说，它会读取一个叫做"fold.json"的配置文件，其中保存了上一次打开文件时的文件夹路径。如果这个路径不存在，就使用当前工作...

with open('./第{}页.txt'.format(i), 'w', encoding='utf-8') as fp: for num in dish_urls: new_urls=f'https://www.haochu.com{num}' #把菜品具体网址作为新url,获取每道菜所需的食材 print(new_urls) response2=requests.get(url=new_urls,headers=headers) html_data2 = etree.HTML(response2.text) #新网址的html——data2 ints_names = html_data2.xpath('//div[@class="ints-cover"]/img/@alt')#菜品所需食材 print(ints_names) for dish_name, dish_heat,dish_url in zip(dish_names, dish_heats,dish_urls): dish = f'{dish_name},{dish_heat},{ints_names},https://www.haochu.com{dish_url}\n' fp.write(dish),为什么ints_names只有一个

在这段代码中，ints_names 是通过解析网页获取的菜品所需食材信息，而在你的代码中，ints_names 只是被定义在了第一个 for 循环中，并没有在第二个 for 循环中进行遍历，因此只有一个值。你需要将获取到的 ints_...

解释代码def main(): url = DOWNLOAD_URL with codecs.open('movies.txt', 'wb', encoding='utf-8') as fp: for i in range(0,250,25): url = DOWNLOAD_URL + "i" html = download_page(url) movies = parse_html(html) fp.write(u'{movies}\n'.format(movies='\n'.join(movies))) print("下载完毕")

这个代码是一个Python脚本，它从一个网址下载电影列表并将其保存到一个名为'movies.txt'的文本文件中。该脚本利用一个循环读取网址的不同页面，并解析出各个页面中的电影列表。最后，该脚本将所有电影名称写入文本...

import requests from lxml import etree urls = ['https://www.xxddxs.com/book/{}.html'.format(i) for i in range(1, 20)] path = r'D:\py\venv\Scripts\xiaoshuo' def get_text(url: object) -> object: r = requests.get(url) r.encoding = 'utf-8' selector = etree.HTML(r.text) # Get the book title from the page title = selector.xpath('//div[@class="bookname"]/h1/text()') # If no title found, print an error message and return early if len(title) == 0: print(f"No title found for {url}") return # Get the text of the chapter text = selector.xpath('//div[@id="content"]/text()') # Print the text to standard output print(text) # Write the text to a file in the specified directory with open(path + "\\" + title[0], 'w', encoding='utf-8') as f: for i in text: f.write(i) if name == 'main': for url in urls: get_text(url) 帮我修改并可以爬取到标题

with open(path + "\\" + title[0].strip() + ".txt", 'w', encoding='utf-8') as f: for i in text: f.write(i) if __name__ == '__main__': for url in urls: get_text(url) 在原有代码的基础上，我在 ...

for pageNum in range(1,501): new_url = format(url%pageNum) page = requests.get(url=new_url,headers=headers) tree = etree.HTML(page.text) section_list = tree.xpath('//*[@id="__next"]/div[1]/div[2]/div[3]/div[2]/div[3]/section') z = [] for section in section_list: z1 = section.xpath('./div[1]/div/a/div/div[2]/div/p/span[1]/text()')#评论人 # z1 = 'https://www.dongchedi.com'+section.xpath('./div[1]/div/a/@href')[0]#评论人网址 z2 = section.xpath('./div[2]/p/a/span/text()')#评论内容 x = {} x['评论人'] = z1 x['内容'] = z2 z.append(x) print(pageNum) with open('懂车帝问答星瑞.csv', 'a', newline='', encoding='utf-8') as fp: writer = csv.writer(fp) if(pageNum==1): writer.writerow(['评论人', '内容']) for i in z: writer.writerow(i.values()) else: for i in z: writer.writerow(i.values()) print("写入csv文件完成！") time.sleep(5) 这个代码具体代表什么意思

14. with open('懂车帝问答星瑞.csv', 'a', newline='', encoding='utf-8') as fp: 打开CSV文件，以追加模式写入数据。 15. writer = csv.writer(fp) 创建一个CSV写入器。 16. if(pageNum==1): 如果是第一页，则...

fp = open(path + '\\' + str(i) + '.txt', 'w', encoding='utf-8')

The 'encoding' parameter specifies that the file should be encoded using the UTF-8 format. The '\\' part of the path is used to escape the backslash character, which is a special character in Python...

优化这段代码 for device in resp.Results: s= json.loads(str(device)) time1 = timestamp_to_datetime(int(s['Time'])) valve1 = s['Value'] str1 = str( "{} ,播报状态, Time={}, Value={}\r\n".format(DeviceName,time1,valve1)) test_str += str1 path1 = os.getcwd() # 获取当前工作目录路径 try: f = open(path1+"\\test.txt","r",encoding="utf-8") json_data = json.load(f) aa = pd.DataFrame(json_data) aa aa.to_excel("./ceshi(1).xlsx",sheet_name="测试",encoding="utf-8") except Exception as e: print("---打开异常---", e)

with open(path1 + "\\test.txt", "r", encoding="utf-8") as f: json_data = json.load(f) aa = pd.DataFrame(json_data) aa.to_excel("./ceshi(1).xlsx", sheet_name="测试", encoding="utf-8") except ...

with open("D:\\test3.txt",'r+',encoding='utf-8')as fo: sum=0 for i in fo.readlines(): sum=sum+int(i) fo.write("所有整数的和={0}".format(sum))每句代码什么意思

- with open("D:\\test3.txt",'r+',encoding='utf-8')as fo:：以读写模式打开一个名为 "test3.txt" 的文件，并将其赋值给变量 fo。'r+' 表示以读写模式打开文件，'utf-8' 表示以 utf-8 编码方式读取文件。 - sum=...

with open('hamlet.txt',encoding='utf-8') as f: b=eval(input()) x=[] word={} j=0 y=[] x=f.read().lower() for fh in '!"#$%&()*+,-./:;<=>?@[\\]^_‘{|}~': x=x.replace(fh,' ') x=x.replace('\n',' ') a=x.split(' ') a.pop() for i in a: word[i]=word.get(i,0)+1 y=sorted(word.items(),key=lambda x: x[1],reverse=True) del y[0] y=dict(y) for i in y: print("{:<10}{:>5}".format(i,y[i])) j=j+1 if j==b: exit() 分析以上程序

1. 打开文件'hamlet.txt'，以 utf-8 编码方式读取文件内容，并将其赋值给变量 f。 2. 通过 input() 获取一个整数，赋值给变量 b。 3. 初始化列表 x、字典 word 和列表 y，以及计数器 j，分别用于存储文本内容、单词...

import csv import requests from lxml import etree if name == "main": url = 'https://heze.lianjia.com/zufang/pg%d' header = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36 Edg/113.0.1774.57' } #爬取源码数据 headers = ["区域", "小区名称", "户型", "面积(㎡)", "价格(元/月)"] path = "链家菏泽租房数据.csv" with open(path, 'wb') as f: csv_write = csv.writer(f) csv_head = ["区域", "小区名称", "户型", "面积(㎡)", "价格(元/月)"] csv_write.writerow(csv_head) for num in range(85,101): new_url = format(url%num) page_num1 = requests.get(url=new_url, headers=header) page_num1.encoding = ('utf-8') page_num = page_num1.text tree = etree.HTML(page_num) # 存储的就是标签对象 div_list = tree.xpath('//*[@id="content"]/div[1]/div[1]/div') with open(path, 'a+') as f: for div in div_list: quyu = div.xpath('./div/p[2]/a[1]//text()')[0] name = div.xpath('./div/p[2]/a[3]//text()')[0] area = div.xpath('./div/p[2]/text()')[4].split()[0] type = div.xpath('./div/p[2]/text()')[6].split()[0] place = div.xpath('./div//span/em/text()')[0] csv_write = csv.writer(f) data_row = [quyu,name,type,area,place] csv_write.writerow(data_row) print("完成")每段代码的解释

14. page_num1.encoding = ('utf-8') 语句设置HTTP响应的编码格式为utf-8。 15. page_num = page_num1.text 语句获取HTTP响应的文本数据。 16. tree = etree.HTML(page_num) 语句将HTML文档解析成lxml树对象...

import csv import requests from lxml import etree if name == "main": url = 'https://jn.lianjia.com/zufang/pg{}' header = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/113.0.0.0 Safari/537.36 Edg/113.0.1774.57' } # 爬取源码数据 headers = ["区域", "小区名称", "户型", "面积(㎡)", "价格(元/月)"] path = "链家济南租房数据.csv" with open(path, 'w', newline='') as f: csv_write = csv.writer(f) csv_head = ["区域", "小区名称", "户型", "面积(㎡)", "价格(元/月)"] csv_write.writerow(csv_head) for num in range: new_url = url.format(num) page_num1 = requests.get(url=new_url, headers=header) page_num1.encoding = ('utf-8') page_num = page_num1.text tree = etree.HTML(page_num) # 存储的就是标签对象 div_list = tree.xpath('//*[@id="content"]/div[1]/div[1]/div') with open(path, 'a', newline='') as f: csv_write = csv.writer(f) for div in div_list: quyu = div.xpath('./div/p[2]/a[1]//text()')[0] name = div.xpath('./div/p[2]/a[3]//text()')[0] area = div.xpath('./div/p[2]/text()')[4].split()[0] type = div.xpath('./div/p[2]/text()')[6].split()[0] place = div.xpath('./div//span/em/text()')[0] data_row = [quyu, name, type, area, place] csv_write.writerow(data_row) print("完成")爬取所有网页信息

page_num1.encoding = ('utf-8') page_num = page_num1.text tree = etree.HTML(page_num) div_list = tree.xpath('//*[@id="content"]/div[1]/div[1]/div') with open(path, 'a', newline='') as f: csv_...

for i in range(1, 6): # 循环遍历 1-5 页 url = f'https://www.haochu.com/caipu/134?page={i}' # 好厨————川菜类菜品网页url response = requests.get(url=url, headers=headers) html_data = etree.HTML(response.text) # 获取川菜类菜品网址的html_data dish_names = html_data.xpath('//div[@class="bei"]/span[1]/text()') # 菜名 dish_heats = html_data.xpath('//div[@class="bei"]/span[2]/text()') # 菜人气度 dish_urls = html_data.xpath('//div[@class="quan_r"]/ul/li/a/@href') # 菜品具体网址 dish_imgs = html_data.xpath('//div[@class="quan_r"]/ul/li/a/img/@src') # 菜品图片 with open('./第{}页.txt'.format(i), 'w', encoding='utf-8') as fp: for dish_name, dish_heat, dish_url in zip(dish_names, dish_heats, dish_urls): # 获取每道菜品的具体网址所需的食材信息 dish_url = f'https://www.haochu.com{dish_url}' response2 = requests.get(url=dish_url, headers=headers) html_data2 = etree.HTML(response2.text) dish_ints_names = html_data2.xpath('//div[@class="ints-cover"]/img/@alt') dish_imgs_url = html_data2.xpath('//div[@class="caipu-detail-cover"]/img/@src') filepath = f'{dish_name}.jpg' response3 = requests.get(url='https:' + ''.join(dish_imgs_url)) for imags in response3: with open(filepath, "wb") as f: f.write(response3.content) # 将菜品名、热量、所需食材、具体网址等信息写入到文本文件中 dish = f' 菜名：{dish_name} 人气度：{dish_heat} 食材：{dish_ints_names} {dish_url}\n' fp.write(dish),我要将图片保存在当前目录的另一个文件夹里

with open('./第{}页.txt'.format(i), 'w', encoding='utf-8') as fp: for dish_name, dish_heat, dish_url, dish_imgs_url in zip(dish_names, dish_heats, dish_urls, dish_imgs): # 获取每道菜品的具体网址所需...

请对以下这段代码进行解析import pandas as pd from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.naive_bayes import MultinomialNB from sklearn.metrics import accuracy_score # 读取训练数据和测试数据 train_data = pd.read_csv('data_train.csv', encoding='utf-8') test_data = pd.read_csv('data_test.csv', encoding='utf-8') # 提取特征向量 vectorizer = TfidfVectorizer() X_train = vectorizer.fit_transform(train_data['title'] + ' ' + train_data['keywords']) X_test = vectorizer.transform(test_data['title'] + ' ' + test_data['keywords']) # 训练模型 model = MultinomialNB() model.fit(X_train, train_data['label']) # 预测结果 y_pred = model.predict(X_test) # 输出分类结果 with open('lab4_result.txt', 'w', encoding='utf-8') as f: for i, y in enumerate(y_pred): f.write('学号姓名{}\n'.format(y))

7. 将分类结果写入文件，使用 with open 函数打开一个文件，将分类结果写入文件中，其中 i 为索引，y 为分类结果。需要注意的是，此处只是一个简单的文本分类模型，还有很多可以优化的地方，比如对文本进行预处理...

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解释代码def main(): url = DOWNLOAD_URL with codecs.open('movies.txt', 'wb', encoding='utf-8') as fp: for i in range(0,250,25): url = DOWNLOAD_URL + "i" html = download_page(url) movies = parse_html(html) fp.write(u'{movies}\n'.format(movies='\n'.join(movies))) print("下载完毕")

fp = open(path + '\\' + str(i) + '.txt', 'w', encoding='utf-8')

with open("D:\\test3.txt",'r+',encoding='utf-8')as fo: sum=0 for i in fo.readlines(): sum=sum+int(i) fo.write("所有整数的和={0}".format(sum))每句代码什么意思

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