import numpy as np
import thinkdsp
import pylab
f = open('coindesk-bpi-USD-close.csv')
s = f.read()
sL = s.split('\n')
xL = [x.split(',') [-1] for x in sL]

##---(Tue May  3 10:04:40 2016)---
import numpy as np
f= open('coindesk-bpi-USD-close.csv')
s=f.read()
sL = s.split('\n')
xL = [x.split(',') [-1]for x in sL]
yL = [float(x) for x in xL[1:-4]]
priceData = np.array(yL)
priceData
yl
yL
xL
pl.plot(yL)
import pylab as pl
pl.plot(yL)
import thinkdsp as td
wave = yL.make_wave(0.5,0,1)
wave = td.make_wave(0.5,0,1)
wave = td.make_wave(yL)
wave = td.make_wave()
wave = yL.td.make_wave(0.5,0,1)
cos = td.CosSignal()
cos
wave = yL.td.make_wave(0.5,0,1)
wave = cos.make_wave()
wave = yL.make_wave()
cos.plot()
wave = priceData.make_wave()
wave =td.make_wave(yL,1,0,1)
signal =td.UncorrelatedUniformNoise()
wave = signal.make_wave(0.5,11025)
spectrum = wave.make_spectrum()
spectrum.plot_power()
integ = spectrum.make_integrated_spectrum()
integ.plot_power()
signal =td.UncorrelatedUniformNoise(2111)
wave = signal.make_wave(0.5,11025)
integ = spectrum.make_integrated_spectrum()
integ.plot_power()