Article Outline
Python matplotlib example 'show glitches'
Functions in program:
def load(name):
def glitches_per_second(a):
def normalize(a):
def smooth(a):
def read_channel(name):
Modules used in program:
import scipy.signal
import scipy.io.wavfile
import matplotlib.ticker
import matplotlib
import pylab
import numpy
import sys
import os.path
python show glitches
Python matplotlib example: show glitches
#!env python3
import os.path
import sys
import numpy
import pylab
import matplotlib
import matplotlib.ticker
import scipy.io.wavfile
import scipy.signal
rate = 44100
def read_channel(name):
return scipy.io.wavfile.read(name)[1][:,1]
def smooth(a):
return scipy.signal.savgol_filter(a, 51, 3)
def normalize(a):
a = numpy.trim_zeros(a)
a = smooth(a)
return a
def glitches_per_second(a):
da = numpy.gradient(a, a[1]-a[0])
da = smooth(da)
glitches = numpy.zeros_like(da)
glitches[da == 0] = 1
glitch_per_sec = numpy.zeros(len(glitches)//rate+1)
for n, k in enumerate(range(0,len(glitches),rate)):
glitch_per_sec[n] = numpy.sum(glitches[k:k+rate])
non_zero_gps = glitch_per_sec != 0
x = numpy.arange(len(glitch_per_sec))[non_zero_gps]
y = glitch_per_sec[non_zero_gps]
return x, y
def load(name):
a = read_channel(name)
a = normalize(a)
return glitches_per_second(a)
matplotlib.use('Agg')
names = sys.argv[1:]
f, plots = pylab.subplots(nrows=len(names), ncols=1, sharex=True, sharey=True)
if len(names) == 1:
plots = [plots]
for n, name in enumerate(names):
x, y = load(name)
xticks = numpy.arange(0,x[-1],60*5)
yticks = numpy.arange(0,rate+1,rate/2)
p = plots[n]
p.plot(x, y, '.')
p.grid(True)
p.set_xticks(xticks)
p.set_yticks(yticks)
p.xaxis.set_major_formatter(
matplotlib.ticker.FuncFormatter(lambda v, p: '%dm' % (v // 60)))
p.set_title(r'$\bf{%s}$' % os.path.splitext(
os.path.basename(name))[0])
pylab.gcf().tight_layout(pad=2.5)
pylab.gcf().set_size_inches(10, 5.5)
pylab.savefig('glitches.png')
Python links
- Learn Python: https://pythonbasics.org/
- Python Tutorial: https://pythonprogramminglanguage.com