Million Songs DB Tools
Tools based on the Million Songs DB: http://labrosa.ee.columbia.edu/millionsong/
Helper object for reading hdf5 files and writing the results to a csv
Sample usage:
from mmsongsdbtools.mmsongsdbtocsvconverter import MMSongsDbToCsvConverter
converter = MMSongsDbToCsvConverter('mmsongsdb.csv', ['artist_name', 'tempo'])
converter.convert_directory('.')
The second parameter for the constructor of MMSongsDbToCsvConverter is an optional list of attributes to fetch for your csv. Available options are listed here:
http://labrosa.ee.columbia.edu/millionsong/pages/example-track-description
Helper command line script: mmsongsdb_to_csv.py.
Sample usage:
$ ./mmsongsdb_to_csv.py <csv_filename> <directory> [<attr_to_save> <attr_to_save> ...]
Parameters:
<csv_filename>the filename of the output csv file<directory>the name of the directory that has the.h5files in it<attr_to_save>optional attributes to save in the csv file (if not specified, all attributes will be used)
Example:
$ ./mmsongsdb_to_csv.py /path/to/file.csv /path/to/input/directory artist_name title tempo
Will create the file /path/to/file.csv that has data like this:
artist_name,title,tempo
Sticky Fingaz,Oh My God,80.149000000000001
Dame Joan Sutherland / New Philharmonia Orchestra / Richard Bonynge,Joy To The World,82.421999999999997
The Jeff Healey Band,Hoochie Coochie Man,107.197
Angela Dimitriou,Ftei O Erotas,124.17700000000001
Danny Wilson,The Second Summer Of Love,196.03399999999999
Lionel Rogg,Prelude And Fugue In C Major BWV 531 : Fugue,64.400999999999996
Java,Don't Phunk With My Heart,130.86099999999999
SWAMI featuring Asuivre,Give It What U Got,90.007999999999996
The Black Velvet Band,Dancing To A Standstill,122.17400000000001
Lisa Lynne,Isla del Luna,95.980999999999995
Pe'z,Spirit,75.954999999999998
Shawn Colvin,Another Long One,210.87100000000001
Stephy Tang,Leng Jing,105.196