A Python library that simplifies the extraction of datasets from XML content.

Overview

xmldataset: simple xml parsing 🗃️

https://camo.githubusercontent.com/13c4e50d88df7178ae1882a203ed57b641674f94/68747470733a2f2f63646e2e7261776769742e636f6d2f73696e647265736f726875732f617765736f6d652f643733303566333864323966656437386661383536353265336136336531353464643865383832392f6d656469612f62616467652e737667 https://travis-ci.org/spurin/xmldataset.png?branch=master https://badge.fury.io/py/xmldataset.png

XML Dataset: simple xml parsing

https://xmldataset.readthedocs.io/en/latest/_static/logo.jpg

A Python library that simplifies the extraction of datasets from XML content.

XML is a simple markup format. Whilst simple, extracting data of interest is often more complicated than it needs to be.

xmldataset addresses this through an easy to use plaintext declaration that follows the structure of the XML document. The declaration is indented, matching the XML structure, the data we are interested in is tagged against a dataset.

Features

  • Handles missing data from the XML structure, if it’s missing in the XML it is not populated in the dataset
  • Handles both XML Elements and Attributes using the plaintext collection schema (attributes are depicted as a sublevel of an element)
  • Easy to rename XML attributes/elements during processing to meet your requirements
  • Inline manipulation of XML content through the process mechanism
  • Dispatch mechanism, allows datasets to be dispatched for every N instance to allow asynchronous processing
Owner
James Spurin
Cloud Engineer / Software Developer | Kubernetes (CKA / CKAD) | Technical Author (Dive Into Ansible) | DevOps | Automation
James Spurin
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