In this notebook I will show you 
how one can generate

an actual score network, as the 
one that I discussed in the lecture

for Bach chorale.

And actually this is exactly the same 
example that I have in the lecture,

is the chorale that I had discussed
there and I have represented

through a netbook. 
So, for working with actual

scores we need an additional
library, python library,

that is called music 21,
it's an amazing library for score

analysis, score generation,

musicological analysis, and
all the many different functions in

this library, and in particular
it allows you to import a score

from the digital format, like
music.xml, for instance,

or midi. And once you have imported
that, then we do this similar

procedure as the one that was done
in the music data part for generating

all these musical spaces, but
now we do it within a score.

So we basically build the dictionary
of chords of the score and then we

build the network out of that. 
And so, this is in this cell,

basically you have all the steps in order
to generate the score network like this

one. You can represent this network using

I mean three dimensional space here.
And some of the things I talked about

in the lecture, for instance the fact
that the networks are directional,

that these, that you go from one
chord to another, for instance,

and not from this other chord
to the original one is represented

in this graphical depiction.
So all the concepts that I discussed

in the lecture can be obtained,
I mean can be looked at from

this kind of representation.
You can do some more sophisticated

analysis here, where you for instance
isolate links that have a particular

distance or you look at the distribution 
of the different operations that go from,

that allow you to go 
from one chord to another.

That gives you representation of
this harmonic space.

And in a way it's connected to
the concepts that I discussed in class.

So as an exercise I would
encourage you to explore more

of this music21 corpus,
and maybe look at some more Bach chorales

and look at the similarities and
differences between the networks

that you obtain this way.