def plotplot(self,wplot,oplots,outplot=None,multiplot = 0):
from aubio.gnuplot import gnuplot_init, audio_to_array, make_audio_plot
import re
import Gnuplot
# audio data
time,data = audio_to_array(self.input)
f = make_audio_plot(time,data)
# check if ground truth exists
#timet,pitcht = self.gettruth()
#if timet and pitcht:
# oplots = [Gnuplot.Data(timet,pitcht,with_='lines',
# title='ground truth')] + oplots
t = Gnuplot.Data(0,0,with_='impulses')
g = gnuplot_init(outplot)
g('set title \'%s\'' % (re.sub('.*/','',self.input)))
g('set multiplot')
# hack to align left axis
g('set lmargin 15')
# plot waveform and onsets
g('set size 1,0.3')
g('set origin 0,0.7')
g('set xrange [0:%f]' % max(time))
g('set yrange [-1:1]')
g.ylabel('amplitude')
g.plot(f)
g('unset title')
# plot onset detection function
g('set size 1,0.7')
g('set origin 0,0')
g('set xrange [0:%f]' % max(time))
g('set yrange [20:100]')
g('set key right top')
g('set noclip one')
#g('set format x ""')
#g('set log y')
#g.xlabel('time (s)')
g.ylabel('f0 (Hz)')
if multiplot:
for i in range(len(oplots)):
# plot onset detection functions
g('set size 1,%f' % (0.7/(len(oplots))))
g('set origin 0,%f' % (float(i)*0.7/(len(oplots))))
g('set xrange [0:%f]' % max(time))
g.plot(oplots[i])
else:
g.plot(*oplots)
def plotplot(self, wplot, oplots, outplot=None, multiplot=0):
from aubio.gnuplot import gnuplot_init, audio_to_array, make_audio_plot
import re
import Gnuplot
# audio data
time, data = audio_to_array(self.input)
f = make_audio_plot(time, data)
# check if ground truth exists
#timet,pitcht = self.gettruth()
#if timet and pitcht:
# oplots = [Gnuplot.Data(timet,pitcht,with_='lines',
# title='ground truth')] + oplots
t = Gnuplot.Data(0, 0, with_='impulses')
g = gnuplot_init(outplot)
g('set title \'%s\'' % (re.sub('.*/', '', self.input)))
g('set multiplot')
# hack to align left axis
g('set lmargin 15')
# plot waveform and onsets
g('set size 1,0.3')
g('set origin 0,0.7')
g('set xrange [0:%f]' % max(time))
g('set yrange [-1:1]')
g.ylabel('amplitude')
g.plot(f)
g('unset title')
# plot onset detection function
g('set size 1,0.7')
g('set origin 0,0')
g('set xrange [0:%f]' % max(time))
g('set yrange [20:100]')
g('set key right top')
g('set noclip one')
#g('set format x ""')
#g('set log y')
#g.xlabel('time (s)')
g.ylabel('f0 (Hz)')
if multiplot:
for i in range(len(oplots)):
# plot onset detection functions
g('set size 1,%f' % (0.7 / (len(oplots))))
g('set origin 0,%f' % (float(i) * 0.7 / (len(oplots))))
g('set xrange [0:%f]' % max(time))
g.plot(oplots[i])
else:
g.plot(*oplots)
from aubio.gnuplot import gnuplot_init, audio_to_array, make_audio_plot
import re
import Gnuplot
# audio data
time,data = audio_to_array(self.input)
f = make_audio_plot(time,data)
# check if ground truth exists
#timet,pitcht = self.gettruth()
#if timet and pitcht:
# oplots = [Gnuplot.Data(timet,pitcht,with='lines',
# title='ground truth')] + oplots
t = Gnuplot.Data(0,0,with='impulses')
g = gnuplot_init(outplot)
g('set title \'%s\'' % (re.sub('.*/','',self.input)))
g('set multiplot')
# hack to align left axis
g('set lmargin 15')
# plot waveform and onsets
g('set size 1,0.3')
g('set origin 0,0.7')
g('set xrange [0:%f]' % max(time))
g('set yrange [-1:1]')
g.ylabel('amplitude')
g.plot(f)
g('unset title')
# plot onset detection function