Metadata-Version: 2.1 Name: xmltodict Version: 0.12.0 Summary: Makes working with XML feel like you are working with JSON Home-page: https://github.com/martinblech/xmltodict Author: Martin Blech Author-email: martinblech@gmail.com License: MIT Platform: all Classifier: Intended Audience :: Developers Classifier: License :: OSI Approved :: MIT License Classifier: Operating System :: OS Independent Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 2 Classifier: Programming Language :: Python :: 2.7 Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.4 Classifier: Programming Language :: Python :: 3.5 Classifier: Programming Language :: Python :: 3.6 Classifier: Programming Language :: Python :: 3.7 Classifier: Programming Language :: Python :: Implementation :: Jython Classifier: Programming Language :: Python :: Implementation :: PyPy Classifier: Topic :: Text Processing :: Markup :: XML Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.* Description-Content-Type: text/markdown # xmltodict `xmltodict` is a Python module that makes working with XML feel like you are working with [JSON](http://docs.python.org/library/json.html), as in this ["spec"](http://www.xml.com/pub/a/2006/05/31/converting-between-xml-and-json.html): [![Build Status](https://secure.travis-ci.org/martinblech/xmltodict.svg)](http://travis-ci.org/martinblech/xmltodict) ```python >>> print(json.dumps(xmltodict.parse(""" ... ... ... elements ... more elements ... ... ... element as well ... ... ... """), indent=4)) { "mydocument": { "@has": "an attribute", "and": { "many": [ "elements", "more elements" ] }, "plus": { "@a": "complex", "#text": "element as well" } } } ``` ## Namespace support By default, `xmltodict` does no XML namespace processing (it just treats namespace declarations as regular node attributes), but passing `process_namespaces=True` will make it expand namespaces for you: ```python >>> xml = """ ... ... 1 ... 2 ... 3 ... ... """ >>> xmltodict.parse(xml, process_namespaces=True) == { ... 'http://defaultns.com/:root': { ... 'http://defaultns.com/:x': '1', ... 'http://a.com/:y': '2', ... 'http://b.com/:z': '3', ... } ... } True ``` It also lets you collapse certain namespaces to shorthand prefixes, or skip them altogether: ```python >>> namespaces = { ... 'http://defaultns.com/': None, # skip this namespace ... 'http://a.com/': 'ns_a', # collapse "http://a.com/" -> "ns_a" ... } >>> xmltodict.parse(xml, process_namespaces=True, namespaces=namespaces) == { ... 'root': { ... 'x': '1', ... 'ns_a:y': '2', ... 'http://b.com/:z': '3', ... }, ... } True ``` ## Streaming mode `xmltodict` is very fast ([Expat](http://docs.python.org/library/pyexpat.html)-based) and has a streaming mode with a small memory footprint, suitable for big XML dumps like [Discogs](http://discogs.com/data/) or [Wikipedia](http://dumps.wikimedia.org/): ```python >>> def handle_artist(_, artist): ... print(artist['name']) ... return True >>> >>> xmltodict.parse(GzipFile('discogs_artists.xml.gz'), ... item_depth=2, item_callback=handle_artist) A Perfect Circle Fantômas King Crimson Chris Potter ... ``` It can also be used from the command line to pipe objects to a script like this: ```python import sys, marshal while True: _, article = marshal.load(sys.stdin) print(article['title']) ``` ```sh $ bunzip2 enwiki-pages-articles.xml.bz2 | xmltodict.py 2 | myscript.py AccessibleComputing Anarchism AfghanistanHistory AfghanistanGeography AfghanistanPeople AfghanistanCommunications Autism ... ``` Or just cache the dicts so you don't have to parse that big XML file again. You do this only once: ```sh $ bunzip2 enwiki-pages-articles.xml.bz2 | xmltodict.py 2 | gzip > enwiki.dicts.gz ``` And you reuse the dicts with every script that needs them: ```sh $ gunzip enwiki.dicts.gz | script1.py $ gunzip enwiki.dicts.gz | script2.py ... ``` ## Roundtripping You can also convert in the other direction, using the `unparse()` method: ```python >>> mydict = { ... 'response': { ... 'status': 'good', ... 'last_updated': '2014-02-16T23:10:12Z', ... } ... } >>> print(unparse(mydict, pretty=True)) good 2014-02-16T23:10:12Z ``` Text values for nodes can be specified with the `cdata_key` key in the python dict, while node properties can be specified with the `attr_prefix` prefixed to the key name in the python dict. The default value for `attr_prefix` is `@` and the default value for `cdata_key` is `#text`. ```python >>> import xmltodict >>> >>> mydict = { ... 'text': { ... '@color':'red', ... '@stroke':'2', ... '#text':'This is a test' ... } ... } >>> print(xmltodict.unparse(mydict, pretty=True)) This is a test ``` ## Ok, how do I get it? ### Using pypi You just need to ```sh $ pip install xmltodict ``` ### RPM-based distro (Fedora, RHEL, …) There is an [official Fedora package for xmltodict](https://apps.fedoraproject.org/packages/python-xmltodict). ```sh $ sudo yum install python-xmltodict ``` ### Arch Linux There is an [official Arch Linux package for xmltodict](https://www.archlinux.org/packages/community/any/python-xmltodict/). ```sh $ sudo pacman -S python-xmltodict ``` ### Debian-based distro (Debian, Ubuntu, …) There is an [official Debian package for xmltodict](https://tracker.debian.org/pkg/python-xmltodict). ```sh $ sudo apt install python-xmltodict ``` ### FreeBSD There is an [official FreeBSD port for xmltodict](https://svnweb.freebsd.org/ports/head/devel/py-xmltodict/). ```sh $ pkg install py36-xmltodict ```