source: python/aubio/gnuplot.py @ 4d3c461

"""Copyright (C) 2004 Paul Brossier <piem@altern.org>
print aubio.__LICENSE__ for the terms of use
"""

__LICENSE__ = """\
         Copyright (C) 2004 Paul Brossier <piem@altern.org>

         This program is free software; you can redistribute it and/or modify
         it under the terms of the GNU General Public License as published by
         the Free Software Foundation; either version 2 of the License, or
         (at your option) any later version.

         This program is distributed in the hope that it will be useful,
         but WITHOUT ANY WARRANTY; without even the implied warranty of
         MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
         GNU General Public License for more details.

         You should have received a copy of the GNU General Public License
         along with this program; if not, write to the Free Software
         Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
"""


def audio_to_array(filename):
        import aubio.aubioclass
        import numarray
        hopsize  = 2048
        filei    = aubio.aubioclass.sndfile(filename)
        framestep = 1/(filei.samplerate()+0.)
        channels = filei.channels()
        myvec    = aubio.aubioclass.fvec(hopsize,channels)
        data = []
        readsize = hopsize
        while (readsize==hopsize):
                readsize = filei.read(hopsize,myvec)
                #for i in range(channels):
                i = 0
                curpos = 0
                while (curpos < readsize):
                        data.append(myvec.get(curpos,i))
                        curpos+=1
        time = numarray.arange(len(data))*framestep
        return time,data

def plot_audio(filenames, g, options):
        todraw = len(filenames)
        xorig = 0.
        xratio = 1./todraw
        g('set multiplot;')
        while (len(filenames)):
                time,data = audio_to_array(filenames.pop(0))
                if todraw==1:
                        if max(time) < 1.:
                                time = [t*1000. for t in time]
                                g.xlabel('Time (ms)')
                        else:
                                g.xlabel('Time (s)')
                        g.ylabel('Amplitude')
                curplot = make_audio_plot(time,data)
                g('set size %f,%f;' % (options.xsize*xratio,options.ysize) )
                g('set origin %f,0.;' % (xorig) )
                g('set style data lines; \
                        set yrange [-1.:1.]; \
                        set xrange [0:%f]' % time[-1]) 
                g.plot(curplot)
                xorig += options.xsize*xratio 
        g('unset multiplot;')

def audio_to_spec(filename,minf = 0, maxf = 0, lowthres = -20., 
                bufsize= 8192, hopsize = 1024):
        from aubioclass import fvec,cvec,pvoc,sndfile
        from math import log10
        filei     = sndfile(filename)
        srate     = float(filei.samplerate())
        framestep = hopsize/srate
        freqstep  = srate/bufsize
        channels  = filei.channels()
        myvec = fvec(hopsize,channels)
        myfft = cvec(bufsize,channels)
        pv    = pvoc(bufsize,hopsize,channels)
        data,time,freq = [],[],[]

        if maxf == 0.: maxf = bufsize/2
        else: maxf = int(maxf/freqstep)
        if minf: minf = int(minf/freqstep)
        else: minf = 0 

        for f in range(minf,maxf):
                freq.append(f*freqstep)
        readsize = hopsize
        frameread = 0
        while (readsize==hopsize):
                readsize = filei.read(hopsize,myvec)
                pv.do(myvec,myfft)
                frame = []
                i = 0 #for i in range(channels):
                curpos = minf 
                while (curpos < maxf):
                        frame.append(max(lowthres,20.*log10(myfft.get(curpos,i)**2+0.00001)))
                        curpos+=1
                time.append(frameread*framestep)
                data.append(frame)
                frameread += 1
        # crop data if unfinished frames
        if len(data[-1]) != len(data[0]):
                data = data[0:-2]
                time = time[0:-2]
        # verify size consistency
        assert len(data) == len(time)
        assert len(data[0]) == len(freq)
        return data,time,freq

def plot_spec(filename, g, options):
        import Gnuplot
        data,time,freq = audio_to_spec(filename,
    minf=options.minf,maxf=options.maxf,
    bufsize=options.bufsize,hopsize=options.hopsize)
        xorig = 0.
        if max(time) < 1.:
                time = [t*1000. for t in time]
                g.xlabel('Time (ms)')
        else:
                g.xlabel('Time (s)')
        if options.xsize < 0.5 and not options.log and max(time) > 1.:
                freq = [f/1000. for f in freq]
                options.minf /= 1000.
                options.maxf /= 1000.
                g.ylabel('Frequency (kHz)')
        else:
                g.ylabel('Frequency (Hz)')
        g('set pm3d map')
        g('set palette rgbformulae -25,-24,-32')
        g('set cbtics 20')
        #g('set colorbox horizontal')
        g('set xrange [0.:%f]' % time[-1]) 
        if options.log:
                g('set log y')
                g('set yrange [%f:%f]' % (max(10,options.minf),options.maxf))
        else:
                g('set yrange [%f:%f]' % (options.minf,options.maxf))
        g.splot(Gnuplot.GridData(data,time,freq, binary=1))
        #xorig += 1./todraw

def downsample_audio(time,data,maxpoints=10000):
  """ resample audio data to last only maxpoints """
  import numarray
  length = len(time)
  downsample = length/maxpoints
  if downsample == 0: downsample = 1
  x = numarray.array(time).resize(length)[0:-1:downsample]
  y = numarray.array(data).resize(length)[0:-1:downsample]
  return x,y

def make_audio_plot(time,data,maxpoints=10000):
  """ create gnuplot plot from an audio file """
  import Gnuplot, Gnuplot.funcutils
  x,y = downsample_audio(time,data,maxpoints=maxpoints)
  return Gnuplot.Data(x,y,with='lines')

def make_audio_envelope(time,data,maxpoints=10000):
  """ create gnuplot plot from an audio file """
  import numarray
  import Gnuplot, Gnuplot.funcutils
  bufsize = 500
  x = [i.mean() for i in numarray.array(time).resize(len(time)/bufsize,bufsize)] 
  y = [i.mean() for i in numarray.array(data).resize(len(time)/bufsize,bufsize)] 
  x,y = downsample_audio(x,y,maxpoints=maxpoints)
  return Gnuplot.Data(x,y,with='lines')

def gnuplot_addargs(parser):
  """ add common gnuplot argument to OptParser object """
  parser.add_option("-x","--xsize",
          action="store", dest="xsize", default=1., 
          type='float',help="define xsize for plot")
  parser.add_option("-y","--ysize",
          action="store", dest="ysize", default=1., 
          type='float',help="define ysize for plot")
  parser.add_option("--debug",
          action="store_true", dest="debug", default=False, 
          help="use gnuplot debug mode")
  parser.add_option("--persist",
          action="store_false", dest="persist", default=True, 
          help="do not use gnuplot persistant mode")
  parser.add_option("--lmargin",
          action="store", dest="lmargin", default=None, 
          type='int',help="define left margin for plot")
  parser.add_option("--rmargin",
          action="store", dest="rmargin", default=None, 
          type='int',help="define right margin for plot")
  parser.add_option("--bmargin",
          action="store", dest="bmargin", default=None, 
          type='int',help="define bottom margin for plot")
  parser.add_option("--tmargin",
          action="store", dest="tmargin", default=None, 
          type='int',help="define top margin for plot")
  parser.add_option("-O","--outplot",
          action="store", dest="outplot", default=None, 
          help="save plot to output.{ps,png}")

def gnuplot_create(outplot='',extension='', options=None):
  import Gnuplot
  if options:
    g = Gnuplot.Gnuplot(debug=options.debug, persist=options.persist)
  else:
    g = Gnuplot.Gnuplot(persist=1)
  if not extension or not outplot: return g
  if   extension == 'ps':  ext, extension = '.ps' , 'postscript'
  elif extension == 'eps': ext, extension = '.eps' , 'postscript enhanced'
  elif extension == 'epsc': ext, extension = '.eps' , 'postscript enhanced color'
  elif extension == 'png': ext, extension = '.png', 'png'
  elif extension == 'svg': ext, extension = '.svg', 'svg'
  else: exit("ERR: unknown plot extension")
  g('set terminal %s' % extension)
  if options and options.lmargin: g('set lmargin %i' % options.lmargin)
  if options and options.rmargin: g('set rmargin %i' % options.rmargin)
  if options and options.bmargin: g('set bmargin %i' % options.bmargin)
  if options and options.tmargin: g('set tmargin %i' % options.tmargin)
  if outplot != "stdout":
    g('set output \'%s%s\'' % (outplot,ext))
  if options: g('set size %f,%f' % (options.xsize, options.ysize))
  return g