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# 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 matplotlib.pyplot as plt
import colours
def plot_frame_peaks(peaks):
"Plot peaks in one frame"
x_values = []
y_values = []
for peak in peaks:
x_values.append(int(peak.frequency))
y_values.append(peak.amplitude)
plt.plot(x_values, y_values, 'ro')
#def _plot_frame_peaks(frame, frame_number, max_amp=0):
# "Plot one frame, which is a list of Peak objects"
# x_values = [frame_number for x in range(len(frame))]
# y_values = [int(peak.frequency) for peak in frame]
# plt.plot(x_values, y_values, 'ro')
def _plot_frame_peaks(frame, frame_number, max_amp=0):
"Plot one frame, which is a list of Peak objects"
for peak in frame:
plt.plot(frame_number, int(peak.frequency), linestyle="None",
marker="o", markersize=2, markeredgewidth=None,
markerfacecolor=colours.pbj(peak.amplitude/max_amp))
def plot_peaks(peaks):
"Plot peaks found by a peak detection algorithm"
max_amp = max([max([p.amplitude for p in f if p]) for f in peaks if f])
for frame_number, frame in enumerate(peaks):
_plot_frame_peaks(frame, frame_number, max_amp)
#def plot_partials(partials, show_peaks=True):
# "Plot partials created by a partial tracking algorithm"
# max_amp = max([max([peak.amplitude for peak in p.peaks if p.peaks])
# for p in partials if p])
# num_frames = max([partial.get_last_frame() for partial in partials])
# peaks = [[] for f in range(num_frames)]
# for partial in partials:
# x_values = []
# y_values = []
# for peak_number, peak in enumerate(partial.peaks):
# x_values.append(partial.starting_frame + peak_number)
# y_values.append(int(peak.frequency))
# peaks[partial.starting_frame + peak_number].append(peak)
# plt.plot(x_values, y_values, "b")
# if show_peaks:
# plot_peaks(peaks)
def plot_partials(partials, show_peaks=False):
"Plot partials created by a partial tracking algorithm"
max_amp = max([max([peak.amplitude for peak in p.peaks if p.peaks])
for p in partials if p])
num_frames = max([partial.get_last_frame() for partial in partials])
peaks = [[] for f in range(num_frames)]
for partial in partials:
x_values = []
y_values = []
avg_amp = 0.0
num_peaks = 0
for peak_number, peak in enumerate(partial.peaks):
x_values.append(partial.starting_frame + peak_number)
y_values.append(int(peak.frequency))
avg_amp += peak.amplitude
num_peaks += 1
peaks[partial.starting_frame + peak_number].append(peak)
avg_amp /= num_peaks
plt.plot(x_values, y_values, color=colours.pbj(avg_amp/max_amp))
if show_peaks:
plot_peaks(peaks)
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