Reading and Writing XML Files in Python with Pandas

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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 into a Pandas DataFrame. We’ll also take data from a Pandas DataFrame and write it to an XML file.

Reading XML with Pandas

Let’s have a look at a few ways to read XML data and put it in a Pandas DataFrame.

For this section, we’ll use one set of input data for every script. Save the following XML in a file called properties.xml:

 

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