# all the data will then be in memory for you to play with
import csv
import os
import pylab
import numpy
from scipy import stats
import joystick
from joystick import Dataset, Datafile
data_folder = "data"
ds = Dataset(data_folder)
colours={'i': 'b',
'l': 'r'} # instrumental = blue, lyrics = red
print "Reminder: Lyrics = Red, Instrumental = Blue"
pylab.figure()
pylab.show()
for songcounter,songname in enumerate(ds.metadata['songname']):
# figureno will increment from 0
# songno will go through all the available songno's in the Dataset ds
#pylab.figure(figureno)
sample_file = ds.filter(songname=songname).next()
# %run analysis.py
# all the data will then be in memory for you to play with
import csv
import os
import pylab
import numpy
data_folder = "data"
import joystick
from joystick import Dataset, Datafile
ds = Dataset('data')
songno = 105 # Alanis Morrisette
colours={'i': 'b',
'l': 'r'} # instrumental = blue, lyrics = red
print "Reminder: Lyrics = Red, Instrumental = Blue"
#do 4 in one animated plot
#for i in [100]:
pylab.figure(3)
pylab.clf()
pylab.subplot(221)
pylab.axis([-400,400,-400,400])