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()
pval_list = list() # list of P values (one for each time step)
mean_diff_list = list()
# set up a CSV file writer
csv_file = open(sample_file.metadata['songname']+'.csv', 'w') # open a file for writing
csv_out = csv.DictWriter(csv_file, ['t','imy','ivy','iny','lmy','lvy','lny','tstat','pval'],
dialect='excel')
labels = { 't': 'Time (s)',
'imy': 'Mean(Yi)',
'ivy': 'Var(Yi)',
'iny': 'N(Yi)',
'lmy': 'Mean(Yl)',
'lny': 'N(Yl)',
'lvy': 'Var(Yl)',
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])
sample_file = ds.filter(songno=songno).next()
pylab.subplot(224)
pylab.axis([0, sample_file.get_last_time(),-400,400])
for i in range(0, sample_file.get_frame_count(), 1 ):
pylab.subplot(222).clear()
pylab.subplot(223).clear()
y_arrays=dict() # new dictionary for this time step
for condition in ['i','l']:
col = colours[condition]
y_list=list()
x_list=list()
