![]() It also extends the native ElementTree module. The lxml library is a Python binding for the C libraries libxml2 and libxslt. Xml_data = open( 'properties.xml', 'r').read() # Read fileĭata.append()ĭf = pd.DataFrame(data).T # Write in DF and transpose itĭf.columns = cols # Update column names print(df) Let's look at the code to demonstrate use of : import as ET Note: When reading data from XML, we have to transpose the DataFrame, as the data list's sub-elements are written in columns. 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.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |