from readData import readAllData
from Preprocess import lowPassFilter
from Visualize import Visualize
import copy
data = readAllData("H:\TaxiNetwork\DriverSafty\DriverSafty\data_7_31\data")
X = {}
for d in data:
X[d] = copy.copy(data[d]["a1"])
X[d] = lowPassFilter(X[d])
del data
end = 0
d = []
for i in xrange(len(data)-1):
if isZero(data[i],data[i+1]):
print start,end
if end -start >=step:
d.append(data[start:end])
start = end
else:
end = i
if end -start >=step:
d.append(data[start:end])
return d
data = readData("data/turn/Turn1.csv")
sf = lowPassFilter(data["AX"],0.02)
#d,vars,means = splitData(sf.tolist())
#newD = merge(d,vars,means)
#print len(newD)
#for line in newD:
# print len(line)
newD = splitData2(sf)
for line in newD:
print len(line)
data = readData("data/turn/Turn3.csv")
sf = lowPassFilter(data["AX"],0.02)
for line in splitData2(sf):
newD.append(line)
for line in newD:
sim = []
for line2 in newD: