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-rwxr-xr-xpython/demos/demo_waveform_plot.py56
1 files changed, 56 insertions, 0 deletions
diff --git a/python/demos/demo_waveform_plot.py b/python/demos/demo_waveform_plot.py
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+++ b/python/demos/demo_waveform_plot.py
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+#! /usr/bin/env python
+
+import sys
+from aubio import source
+from numpy import zeros, hstack
+
+def get_waveform_plot(filename, samplerate = 0, block_size = 4096, ax = None, downsample = 2**4):
+ import matplotlib.pyplot as plt
+ if not ax:
+ fig = plt.figure()
+ ax = fig.add_subplot(111)
+ hop_s = block_size
+
+ allsamples_max = zeros(0,)
+ downsample = downsample # to plot n samples / hop_s
+
+ a = source(filename, samplerate, hop_s) # source file
+ if samplerate == 0: samplerate = a.samplerate
+
+ total_frames = 0
+ while True:
+ samples, read = a()
+ # keep some data to plot it later
+ new_maxes = (abs(samples.reshape(hop_s//downsample, downsample))).max(axis=0)
+ allsamples_max = hstack([allsamples_max, new_maxes])
+ total_frames += read
+ if read < hop_s: break
+ allsamples_max = (allsamples_max > 0) * allsamples_max
+ allsamples_max_times = [ ( float (t) / downsample ) * hop_s for t in range(len(allsamples_max)) ]
+
+ ax.plot(allsamples_max_times, allsamples_max, '-b')
+ ax.plot(allsamples_max_times, -allsamples_max, '-b')
+ ax.axis(xmin = allsamples_max_times[0], xmax = allsamples_max_times[-1])
+
+ set_xlabels_sample2time(ax, allsamples_max_times[-1], samplerate)
+ return ax
+
+def set_xlabels_sample2time(ax, latest_sample, samplerate):
+ ax.axis(xmin = 0, xmax = latest_sample)
+ 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:
+ print("Usage: %s <filename>" % sys.argv[0])
+ else:
+ for soundfile in sys.argv[1:]:
+ get_waveform_plot(soundfile)
+ # display graph
+ plt.show()