iTunes Music Library Network Graph
Experimentation with D3.js force-directed graphs using iTunes library data.
See a running demo.
Installation
- Clone project into a public web server path.
- Run
./iTunesGraphParser.pyto scan your iTunes library and write a new ./js/music-data.json file. - Point browser to
index.htmlon your web server.
iTunesGraphParser.py
A python command line script is included that parses an iTunes library file and outputs JSON data.
Usage: iTunesGraphParser.py [options]
Options:
--version show program's version number and exit
-h, --help show this help message and exit
-f FILE, --file=FILE iTunes Library XML file path
-o OUTPUT, --output=OUTPUT
Output to file (default=./js/music-data.json)
-c, --console Output to console instead of file
-r RATING, --rating=RATING
Minimum rating filter (default = 4)
-p, --jsonp Output in JSON-P format
-i INDENT, --indent=INDENT
Indent level for output format (default=None)
-v, --verbose Verbose output
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent