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Diffstat (limited to 'python/demos/demo_waveform_plot.py')
-rwxr-xr-x | python/demos/demo_waveform_plot.py | 56 |
1 files changed, 56 insertions, 0 deletions
diff --git a/python/demos/demo_waveform_plot.py b/python/demos/demo_waveform_plot.py new file mode 100755 index 0000000..5434223 --- /dev/null +++ b/python/demos/demo_waveform_plot.py @@ -0,0 +1,56 @@ +#! /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() |