def showTransfer(**kwargs):
xVals = linspace(0, dur, sr * dur)
#data = sin(xVals* linspace(0, sampr*2, sampr*dur))
data = random.normal(size=sr * dur)
data2 = NiDAQ.lowpass(data, **kwargs)
pw.plot(y=data, x=xVals, clear=True)
pw.plot(y=data2, x=xVals, pen=mkPen((255, 0, 0)))
def run(ds):
pw.plot(data, clear=True)
for m, c in zip(methods, colors):
d1 = data.copy()
t = time.clock()
d2 = NiDAQ.downsample(d1, ds, method=m)
print("Method %d: %f" % (i, time.clock() - t))
p = pw.plot(y=d2, x=linspace(0, len(d2) * ds, len(d2)), pen=mkPen(c))
p.setZValue(10000)
def showTransfer(**kwargs):
xVals = linspace(0, dur, sr*dur)
#data = sin(xVals* linspace(0, sampr*2, sampr*dur))
data = random.normal(size=sr*dur)
data2 = NiDAQ.lowpass(data, **kwargs)
pw.plot(y=data, x=xVals, clear=True)
pw.plot(y=data2, x=xVals, pen=mkPen((255, 0, 0)))
def run(ds):
pw.plot(data, clear=True)
for m, c in zip(methods, colors):
d1 = data.copy()
t = time.clock()
d2 = NiDAQ.downsample(d1, ds, method=m)
print "Method %d: %f" % (i, time.clock()-t)
p = pw.plot(y=d2, x=linspace(0, len(d2)*ds, len(d2)), pen=mkPen(c))
p.setZValue(10000)
def showDownsample(**kwargs):
d1 = data.copy()
d2 = NiDAQ.downsample(d1, **kwargs)
xv2 = xVals[::kwargs['ds']][:len(d2)]
pw.plot(y=d1, x=xVals, clear=True)
pw.plot(y=d2[:len(xv2)], x=xv2, pen=mkPen((255, 0, 0)))
def showDownsample(**kwargs):
d1 = data.copy()
d2 = NiDAQ.downsample(d1, **kwargs)
xv2 = xVals[::kwargs['ds']][:len(d2)]
pw.plot(y=d1, x=xVals, clear=True)
pw.plot(y=d2[:len(xv2)], x=xv2, pen=mkPen((255, 0, 0)))
