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| author | John Glover <glover.john@gmail.com> | 2011-06-24 18:17:23 +0100 |
|---|---|---|
| committer | John Glover <glover.john@gmail.com> | 2011-06-24 18:17:23 +0100 |
| commit | 416bd737074a287ea47106c73ea6bcfde40a75a8 (patch) | |
| tree | 74562303d4f4f2f2e010f7e13cba41dc4852b50c /examples/plotpeaks.py | |
| parent | d26519464dcbf8c3682348167c29454961facefe (diff) | |
| download | simpl-416bd737074a287ea47106c73ea6bcfde40a75a8.tar.gz simpl-416bd737074a287ea47106c73ea6bcfde40a75a8.tar.bz2 simpl-416bd737074a287ea47106c73ea6bcfde40a75a8.zip | |
Change to using distutils.
Currently only builds the simplsndobj module
Diffstat (limited to 'examples/plotpeaks.py')
| -rw-r--r-- | examples/plotpeaks.py | 35 |
1 files changed, 0 insertions, 35 deletions
diff --git a/examples/plotpeaks.py b/examples/plotpeaks.py deleted file mode 100644 index e8de386..0000000 --- a/examples/plotpeaks.py +++ /dev/null @@ -1,35 +0,0 @@ -# Copyright (c) 2009 John Glover, National University of Ireland, Maynooth -# -# 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., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA - -import simpl -import matplotlib.pyplot as plt -from scipy.io.wavfile import read - -input_file = '../tests/audio/flute.wav' -audio_data = read(input_file) -audio = simpl.asarray(audio_data[1]) / 32768.0 # values between -1 and 1 -sample_rate = audio_data[0] - -# take just the first few frames -audio = audio[0:4096] -# peak detection using the SndObj library -pd = simpl.SndObjPeakDetection() -pd.max_peaks = 20 -peaks = pd.find_peaks(audio) -# plot peaks using matplotlib -simpl.plot.plot_peaks(peaks) -plt.show() - |