File- path: str+read() : str+write(text: str)Response- text: str+get_text() : strBeautifulSoup- html: str+get_text() : str 关系图 使用mermaid语法绘制的关系图如下所示: FILERESPONSEBEAUTIFULSOUPparsedbycontainsis
接下来,我们需要编写 Python 代码来实现爬取网页的指定行内容,并将其保存到 TXT 文件中。我们可以先定义一个函数,用于获取网页的内容: importrequestsfrombs4importBeautifulSoupdefget_web_page(url):response=requests.get(url)ifresponse.status_code==200:returnresponse.textelse:returnNone 1. 2. 3. 4. 5. ...
txtfile = open('example_file.txt')for line in txtfile: print(line)写入文件内容 在示例中，打开一个.txt文件，并向其中以追加的方式增加内容，故需要用'a'模式打开。open('example_file2.txt', 'a')接下来，使用write()向其追加内容。txtfile.write('\n More text here.')在添加文本时，至少在...
with open("text.txt", "r+", encoding="utf-8") as f1: print(f1.write("test!")) 执行结果会报错: C:\Users\dengf\anaconda3\python.exe I:\dengf_网络工程师python之路\dengf_Network_Engineer_Python\文件读取模式\test.py Traceback (most recent call last): File "I:\dengf_网络工程师pyt...
pdfFile=open('./input/Political Uncertainty and Corporate Investment Cycles.pdf','rb')pdfObj=PyPDF2.PdfFileReader(pdfFile)page_count=pdfObj.getNumPages()print(page_count)#提取文本forpinrange(0,page_count):text=pdfObj.getPage(p)print(text.extractText())''' ...
text=f.read() print(text) 运行效果如下图所示: 使用pkgutil库 importpkgutil defread(): data_bytes=pkgutil.get_data(__package__,'data.txt') data_str=data_bytes.decode() print(data_str) 运行效果如下图所示: pkgutil是Python自带的用于...
fileHandler = open ("data.txt", "r") while True: # Get next line from file line = fileHandler.readline() # If line is empty then end of file reached if not line : break; print(line.strip()) # Close Close fileHandler.close() ...
读取Word文本:docx2txt 需执行 pip install python-docx importdocx2txt fromdocximportDocument defconvert_doc_to_docx(doc_file, docx_file):# 将doc文档转为docx文档 doc=Document(doc_file) doc.save(docx_file) defread_docx_to_text(file_path): ...
find('h2').text() author = item.find('.author-link-line').text() answer = pq(item.find('.content').html()).text() file = open('explore.txt', 'a', encoding='utf-8') file.write('\n'.join([question, author, answer])) file.write('\n' + '=' * 50 + '\n') file....
get(url,headers=headers).text #pyquery写法01 doc=pq(html) items=doc('.ExploreCollectionCard-contentItem').items() objs = [] def save_json(): with open('data.json','a',encoding='utf-8') as file: for item in items: url = item.find('.ExploreCollectionCard-contentTitle').attr('...