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/dports/audio/aubio/aubio-0.4.9/python/demos/
H A Ddemo_tempo_plot.py59 median_win_s = 5 variable
60 bpms_median = [ median(bpms[i:i + median_win_s:1]) for i in range(len(bpms) - median_win_s ) ]
61 plt2.plot(beats[median_win_s+1:], bpms_median, '-', label = 'median of %d' % median_win_s)
63 median_win_s = 20 variable
64 bpms_median = [ median(bpms[i:i + median_win_s:1]) for i in range(len(bpms) - median_win_s ) ]
65 plt2.plot(beats[median_win_s+1:], bpms_median, '-', label = 'median of %d' % median_win_s)
/dports/audio/py-aubio/aubio-0.4.9/python/demos/
H A Ddemo_tempo_plot.py59 median_win_s = 5 variable
60 bpms_median = [ median(bpms[i:i + median_win_s:1]) for i in range(len(bpms) - median_win_s ) ]
61 plt2.plot(beats[median_win_s+1:], bpms_median, '-', label = 'median of %d' % median_win_s)
63 median_win_s = 20 variable
64 bpms_median = [ median(bpms[i:i + median_win_s:1]) for i in range(len(bpms) - median_win_s ) ]
65 plt2.plot(beats[median_win_s+1:], bpms_median, '-', label = 'median of %d' % median_win_s)