Since the approaches to convert xml and csv are quite similar, which one should you choose? Choosing the fastest is always a good idea. Untangle is a third-party module as well, therefore you will need to install it separetaly usign pip as follows:Ĭsvfile = open('data3.csv','w',encoding='utf-8')Ĭsv_line = Similarly to the xmltodict, the untangle module parses an XMl document and make the data easily accessible. Lastly you can convert XML to CSV using a Python module called untangle. The output of the above code snippet is a file called data2.csv containing the employees information.Īnother useful thing to know about the xmltodict module is that it allows you to convert a dictionary to xml. find(''): This method will find the first child element with the a given tag.Ĭsvfile = open('data2.csv','w',encoding='utf-8')Ĭsvfile_writer.writerow()įor employee in xml:Ĭsv_line =, employee,employee] findall(''): it will find all elements with a given tag that are direct children of the current element. ElementTree.parse('): to import the xml data into your program.To do so we will use three essential methods: The code below will import the xml data, extract the employees details( name, role and age) and create a row in the CSV file for each employee. This module will allow you to easily parse and create XML files. Python includes a module to manipulate XML called. XML to CSV using Python untangle moduleįirstly we will see an approach for converting XML to CSV which doesn’t require you to install any extra libraries.XML to CSV using Python xmltodict module.

Convert xml to csv in r