Free Spire.Doc for Python is a totally independent Python Word class library which doesn't require Microsoft Office installed on system. Microsoft Office Automation is proved to be unstable, slow, and not scalable to produce MS Word documents. Free Spire.Doc for Python is many times faster than...
excel：xlwings、xlrd、xlwt、openpyxl word：Python-docx ppt：pptx email：smtplib（SMTP服务）、email（...
一个文件有两个关键属性:文件名(通常写成一个单词)和路径。路径指定文件在计算机上的位置。例如,我的 Windows 笔记本电脑上有一个文件名为project.docx的文件,路径为C:\Users\Al\Documents。最后一个句点之后的文件名部分称为文件的扩展名,它告诉您文件的类型。文件名
python-docxis a Python library for reading, creating, and updating Microsoft Word 2007+ (.docx) files. Installation pip install python-docx Example >>>fromdocximportDocument>>>document=Document()>>>document.add_paragraph("It was a dark and stormy night.")<docx.text.paragraph.Paragraphobjectat...
Mammoth is designed to convert .docx documents, such as those created by Microsoft Word, Google Docs and LibreOffice, and convert them to HTML. Mammoth aims to produce simple and clean HTML by using semantic information in the document, and ignoring other details. For instance, Mammoth converts...
需要安装poppler,安装方案,windows版poppler从github上搜索, github.com/oschwartz106 从Download 中的Releases链接中(github.com/oschwartz106)中下载.zip,然后解压,放在某个文件夹下,这里放在D:\software\Release-23.11.0-0,则下面代码中popplerpath为r'D:\software\Release-23.11.0-0\poppler-23.11.0\Library\...
bodyParagraph_1.AppendText("Spire.Doc for Python is a professional Python library designed for developers to " + "create, read, write, convert, compare and print Word documents in any Python application " + "with fast and high-quality performance.") ...
() else: doc = word.Documents.Open(filepath) text = doc.Range().Text doc.Close() word.Quit() with open(txt_filepath, 'w', encoding='utf-8') as f: f.write(text) elif file_extension in [".xls", ".xlsx"]: # 读取Excel文件 df = pd...
We had a php application with the requirement to create Word Documents on the fly out of existing HTML content. Very soon we came across phpdocx as it seemed to be the only up-to-date solution for this requirement. Implementation was very straightforward and support was fast and good. I ...
from nltk.tag import pos_tag from nltk.tokenize import word_tokenize text = "NLTK is a powerful library for NLP." tokens = word_tokenize(text) pos_tags = pos_tag(tokens) print("词性标注结果:", pos_tags) 输出结果: 词性标注结果: [('NLTK', 'NNP'), ('is', 'VBZ'), ('a', 'DT...