from collections import Counter, defaultdict
from sklearn.cluster import KMeans
import pandas as pd
import numpy as np
import sys
sys.path.append('C:/Python27/Lib/site-packages')

# Import the chord data.
oscar2 = pd.read_csv('oscar2chords.txt', skiprows=2)[:].sort("Offset")
oscar2.index = xrange(1, len(oscar2) + 1)
with open('oscar2chords.txt', 'rb') as f:
    metmark = float(f.readline())
    tsig_num, tsig_den = [i for i in f.readline().replace(' /', '').split()]
    
print "Metrics:"
print metmark, tsig_num, tsig_den, len(oscar2)
oscar2.sort(columns="Offset", ascending=True)
oscar2.head(30)