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python/demos/demo_waveform_plot.py: plot more samples, add hop_size parameter, add set_xlabels_sample2time

--- a/python/demos/demo_waveform_plot.py

+++ b/python/demos/demo_waveform_plot.py

@@ -4,15 +4,15 @@

 from aubio import pvoc, source

 from numpy import zeros, hstack

-def get_waveform_plot(filename, samplerate = 0, ax = None):

+def get_waveform_plot(filename, samplerate = 0, block_size = 4096, ax = None):

     import matplotlib.pyplot as plt

     if not ax:

         fig = plt.figure()

         ax = fig.add_subplot(111)

-    hop_s = 4096 # block size

+    hop_s = block_size

     allsamples_max = zeros(0,)

-    downsample = 2**3  # to plot n samples / hop_s

+    downsample = 2**4  # to plot n samples / hop_s

     a = source(filename, samplerate, hop_s)            # source file

     if samplerate == 0: samplerate = a.samplerate

@@ -25,8 +25,6 @@

         allsamples_max = hstack([allsamples_max, new_maxes])

         total_frames += read

         if read < hop_s: break

-    print samples.reshape(hop_s/downsample, downsample).shape

-

     allsamples_max = (allsamples_max > 0) * allsamples_max

     allsamples_max_times = [ ( float (t) / downsample ) * hop_s for t in range(len(allsamples_max)) ]

@@ -34,12 +32,18 @@

     ax.plot(allsamples_max_times, -allsamples_max, '-b')

     ax.axis(xmin = allsamples_max_times[0], xmax = allsamples_max_times[-1])

-    if allsamples_max_times[-1] / float(samplerate) > 60:

+    set_xlabels_sample2time(ax, allsamples_max_times[-1], samplerate)

+    return ax

+

+def set_xlabels_sample2time(ax, latest_sample, samplerate):

+    if latest_sample / float(samplerate) > 60:

         ax.set_xlabel('time (mm:ss)')

         ax.set_xticklabels([ "%02d:%02d" % (t/float(samplerate)/60, (t/float(samplerate))%60) for t in ax.get_xticks()[:-1]], rotation = 50)

     else:

         ax.set_xlabel('time (ss.mm)')

         ax.set_xticklabels([ "%02d.%02d" % (t/float(samplerate), 100*((t/float(samplerate))%1) ) for t in ax.get_xticks()[:-1]], rotation = 50)

+

+

 if __name__ == '__main__':

     import matplotlib.pyplot as plt

     if len(sys.argv) < 2: