def sMotif4567():
fdir = "E:/Senior/Graduation project/YahooFlickr/NewYorktemp/Motifs/Motif_UserName"
os.chdir(fdir)
cateNumber = 3
username = functions.readPickle("lmtimeCategory" + str(cateNumber))
lenu = len(username)
no3 = [4, 5, 6, 7]
matrix = np.zeros((4, 13))
for i in range(lenu):
moid = username[i][2]
hlocations = username[i][3]
if moid not in no3:
continue
else:
## time=username[i][4]
## motemtype=judgeTempMo_13types(time[hlocations[0]],time[hlocations[1]],time[hlocations[2]])
lmtime = username[i][5]
seq = []
llmtime = len(lmtime)
for j in range(llmtime):
seq.append(lmtime[j][0])
osum = orderSum(seq)
sid = judgeSemMo_13types(osum[1], osum[2], osum[3])
matrix[moid - 4, sid - 1] += 1
for k in range(4):
matrix[k, :] = matrix[k, :] / sum(matrix[k, :])
return matrix
def userAnalysis(matrix, names, nsimi, sample):
fdir = "E:/Senior/Graduation project/YahooFlickr/NewYorktemp/Motifs/Motif_UserName"
os.chdir(fdir)
cateNumber = 3
username = functions.readPickle("lmtimeCategory" + str(cateNumber))
lenu = len(username)
for ind in sample:
print(ind)
print(names[ind])
print(matrix[ind])
for i in range(lenu):
moid = username[i][2]
hlocations = username[i][3]
name = username[i][0][:-3]
if name == names[ind]:
print(username[i])
print('-' * 40)
def userMatrixNew():
fdir = "E:/Senior/Graduation project/YahooFlickr/NewYorktemp/Motifs/Motif_UserName"
os.chdir(fdir)
cateNumber = 3
username = functions.readPickle("lmtimeCategory" + str(cateNumber))
lenu = len(username)
matrix = []
names = {}
for i in range(lenu):
moid = username[i][2]
hlocations = username[i][3]
name = username[i][0][:-3]
if moid == 1:
continue
else:
time = username[i][4]
lmtime = username[i][5]
seq = []
seqtime = []
llmtime = len(lmtime)
for j in range(llmtime):
seq.append(lmtime[j][0])
seqtime.append(time[hlocations[j]])
vectp = topoVec4(moid)
vectem = temVec13(seqtime)
vecseseq = semaSeqVec13(seq)
#vecsepor=semaPortionVec3(seq)
#vector=np.hstack((vectp,vectem,vecseseq,vecsepor))
vector = np.hstack((vectp, vectem, vecseseq))
if name in names:
names[name] += vector
else:
names[name] = vector
namelist = []
for name, vector in names.items():
matrix.append(vector)
namelist.append(name)
matarray = np.array(matrix)
nameArray = np.array(namelist)
return matarray, nameArray
def tMotif4567():
fdir = "E:/Senior/Graduation project/YahooFlickr/NewYorktemp/Motifs/Motif_UserName"
os.chdir(fdir)
cateNumber = 3
username = functions.readPickle("lmtimeCategory" + str(cateNumber))
lenu = len(username)
no3 = [4, 5, 6, 7]
matrix = np.zeros((4, 13))
for i in range(lenu):
moid = username[i][2]
hlocations = username[i][3]
if moid not in no3:
continue
else:
time = username[i][4]
motemtype = judgeTempMo_13types(time[hlocations[0]],
time[hlocations[1]],
time[hlocations[2]])
matrix[moid - 4, motemtype - 1] += 1
for k in range(4):
matrix[k, :] = matrix[k, :] / sum(matrix[k, :])
return matrix
import functions
import url
for item in url.urls:
title, summary , url, category = functions.parseEntry(item[0],item[1])
functions.add2Pickle(title,summary,url,category)
print(functions.readPickle())
def obtain_data():
return str(functions.readPickle())