We can move across the document using nodes which are elements and sub-elements of the XML file. ![]() ElementTree represents the XML document as a tree. It provides functionality for parsing and creating XML documents. Let's have a look at a few ways to read XML data and put it in a Pandas DataFrame.įor this section, we'll use one set of input data for every script. We'll also take data from a Pandas DataFrame and write it to an XML file. 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 into a Pandas DataFrame. However, Pandas does not include any methods to read and write XML files. The Pandas data analysis library provides functions to read/write data for most of the file types.įor example, it includes read_csv() and to_csv() for interacting with CSV files. ![]() ![]() XML (Extensible Markup Language) is a markup language used to store structured data.
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