B
bbarbero
Good morning all!
I am trying to build a data matrix, but I am not able either to write
to file with a proper structure nor to get the data from the matrix.
I want to sort some music by similarity content, and I just have the
indexes of the playlist like this:
dm = numpy.array(songs)
[0 4 2 1 3]
[1 2 0 4 3]
[2 1 0 4 3]
[3 2 1 0 4]
[4 0 1 2 3]
Now, I want to keep the same format but with the names of the songs,
something like this:
Sort_dm.append(songlist(dm))
['100.mp3\n' '10008.mp3' '10005.mp3\n' '10001.mp3\n' '10006.mp3\n'
'10001.mp3\n' '10005.mp3\n' '100.mp3\n' '10008.mp3' '10006.mp3\n'
'10005.mp3\n' '10001.mp3\n' '100.mp3\n' '10008.mp3' '10006.mp3\n'
'10006.mp3\n' '10005.mp3\n' '10001.mp3\n' '100.mp3\n' '10008.mp3'
'10008.mp3' '100.mp3\n' '10001.mp3\n' '10005.mp3\n' '10006.mp3\n']
But there is no way either I can access to the data... because there
are strings, or save them in matrix format! I could not find anything
in the documentation about this! any hint would be very welcome! thank
you for your time!
Best regards,
Bea Mora
I am trying to build a data matrix, but I am not able either to write
to file with a proper structure nor to get the data from the matrix.
I want to sort some music by similarity content, and I just have the
indexes of the playlist like this:
dm = numpy.array(songs)
[0 4 2 1 3]
[1 2 0 4 3]
[2 1 0 4 3]
[3 2 1 0 4]
[4 0 1 2 3]
Now, I want to keep the same format but with the names of the songs,
something like this:
Sort_dm.append(songlist(dm))
['100.mp3\n' '10008.mp3' '10005.mp3\n' '10001.mp3\n' '10006.mp3\n'
'10001.mp3\n' '10005.mp3\n' '100.mp3\n' '10008.mp3' '10006.mp3\n'
'10005.mp3\n' '10001.mp3\n' '100.mp3\n' '10008.mp3' '10006.mp3\n'
'10006.mp3\n' '10005.mp3\n' '10001.mp3\n' '100.mp3\n' '10008.mp3'
'10008.mp3' '100.mp3\n' '10001.mp3\n' '10005.mp3\n' '10006.mp3\n']
But there is no way either I can access to the data... because there
are strings, or save them in matrix format! I could not find anything
in the documentation about this! any hint would be very welcome! thank
you for your time!
Best regards,
Bea Mora