Reading and Writing XML Files in Python with Pandas

Introduction XML (Extensible Markup Language) is a markup language used to store structured data. The Pandas data analysis library provides functions to read/write data for most of the file types. For example, it includes read_csv() and to_csv() for interacting with CSV files. However, Pandas does not include any methods to read and write XML files. In this article, we will take a look at how we can use other modules to read data from an XML file, and load it […]

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Introduction to the Python lxml Library

lxml is a Python library which allows for easy handling of XML and HTML files, and can also be used for web scraping. There are a lot of off-the-shelf XML parsers out there, but for better results, developers sometimes prefer to write their own XML and HTML parsers. This is when the lxml library comes to play. The key benefits of this library are that it’s ease of use, extremely fast when parsing large documents, very well documented, and provides […]

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Reading and Writing XML Files in Python

XML, or Extensible Markup Language, is a markup-language that is commonly used to structure, store, and transfer data between systems. While not as common as it used to be, it is still used in services like RSS and SOAP, as well as for structuring files like Microsoft Office documents. With Python being a popular language for the web and data analysis, it’s likely you’ll need to read or write XML data at some point, in which case you’re in luck. […]

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