source: python/aubio/gnuplot.py @ 26499e4

"""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.
"""


__notesheight = 0.25


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, fileout=None, start=0, end=None, noaxis=None,xsize=1.,ysize=1.):
        g = gnuplot_init(fileout)
        d = []
        todraw = len(filenames)
        xorig = 0.
        xratio = 1./todraw
        g.gnuplot('set size %f,%f;' % (xsize,ysize) )
        g.gnuplot('set multiplot;')
        while (len(filenames)):
                time,data = audio_to_array(filenames.pop(0))
                if not noaxis and 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')
                d.append(make_audio_plot(time,data))
                g.gnuplot('set size %f,%f;' % (xsize*xratio,ysize) )
                g.gnuplot('set origin %f,0.;' % (xorig) )
                g.gnuplot('set style data lines; \
                        set yrange [-1.:1.]; \
                        set xrange [0:%f]' % time[-1]) 
                g.plot(d.pop(0))
                xorig += xsize*xratio 
        g.gnuplot('unset multiplot;')

def audio_to_spec(filename,minf = 0, maxf = 0, lowthres = -20.):
        from aubioclass import fvec,cvec,pvoc,sndfile
        from math import log10
        bufsize   = 8192
        hopsize   = bufsize/8 # could depend on filelength
        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, outplot='',extension='', fileout=None, start=0, end=None, noaxis=None,log=1, minf=0, maxf= 0, xsize = 1., ysize = 1.):
        import Gnuplot
        g = gnuplot_create(outplot,extension)
        data,time,freq = audio_to_spec(filename,minf=minf,maxf=maxf)
        xorig = 0.
        if not noaxis:
                g.xlabel('Time (s)')
                g.ylabel('Frequency (Hz)')
        g('set size %f,%f' % (xsize, ysize))
        g('set pm3d map')
        g('set palette rgbformulae -25,-24,-32')
        #g('set colorbox horizontal')
        g('set xrange [0.:%f]' % time[-1]) 
        g('set yrange [%f:%f]' % (minf,maxf))
        if log:
                g('set yrange [%f:%f]' % (max(10,minf),maxf))
                g('set log y')
        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 numarray
        import Gnuplot, Gnuplot.funcutils
        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 Gnuplot.Data(x,y,with='lines')

def gnuplot_init(outplot,debug=0,persist=1):
        # prepare the plot
        import Gnuplot
        g = Gnuplot.Gnuplot(debug=debug, persist=persist)
        if outplot == 'stdout':
                g("set terminal png fontfile 'p052023l.pfb'")
                #g('set output \'%s\'' % outplot)
        elif outplot:
                extension = outplot.split('.')[-1]
                if extension == 'ps': extension = 'postscript'
                g('set terminal %s' % extension)
                g('set output \'%s\'' % outplot)
        return g

def gnuplot_create(outplot='',extension='',debug=0,persist=1):
        import Gnuplot
        g = Gnuplot.Gnuplot(debug=debug, persist=persist)
        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 outplot != "stdout":
                g('set output \'%s%s\'' % (outplot,ext))
        return g