def genPeaks(data, tup):
detType, smoothType, smoothCor = tup
if smoothType is None:
val = detectPeaksGCDC(data,
detection={'type': detType})
val = np.transpose(val)
else:
val = np.transpose(detectPeaksGCDC(data,
detection={'type': detType},
mooth={'type': smoothType, 'correct': smoothCor}))
if len(val[0]) < 10:
val = None
return val
def getVelocity(data, cols):
time = data.index
velocity = dict()
for v in cols:
orgCol = "A" + v[1:]
try:
peaks = np.transpose(ac.detectPeaksGCDC(data,
orgCol, smooth={'type': 'sg'}))[0]
velocity[v] = get1DVel(time, data[orgCol], peaks)
except:
continue
return pd.DataFrame.from_dict(velocity)
