def getBayesIndex():
csv = glp.getFinalCsv()
oriIndex = csv.keys()
newIndex = []
for each in oriIndex:
newIndex.append(each + 'Type')
return newIndex
def reshapeCsv():
leftFacEng, leftFacChi = getleftFac()
csv = glp.getFinalCsv()
copy = csv.copy()
for each in leftFacEng:
typeName = copy[each]
t1 = int(typeName.quantile(1 / 5))
t2 = int(typeName.quantile(2 / 5))
t3 = int(typeName.quantile(3 / 5))
t4 = int(typeName.quantile(4 / 5))
t5 = int(typeName.quantile(5 / 5))
typeList = []
for col in typeName:
if col in range(0, t1 + 1):
typeList.append('type1')
elif col in range(t1 + 1, t2 + 1):
typeList.append('type2')
elif col in range(t2 + 1, t3 + 1):
typeList.append('type3')
elif col in range(t3 + 1, t4 + 1):
typeList.append('type4')
elif col in range(t4 + 1, t5 + 1):
typeList.append('type5')
copy[each + 'Type'] = typeList
return copy
def getOriType(coordinate,facType):
global codeDict
global ak
url = 'http://restapi.amap.com/v3/place/around?key='+ ak +'&location='+coordinate[0]+','+coordinate[1]+'&types='+ codeDict[facType] +'&radius='+str(gp.getMetParam())\
+'&offset=20&page=1&extensions=base'
count = waitRequest(url)
csv = glp.getFinalCsv()
copy = csv.copy()
typeName = copy[facType]
t1 = int(typeName.quantile(1/5))
t2 = int(typeName.quantile(2/5))
t3 = int(typeName.quantile(3/5))
t4 = int(typeName.quantile(4/5))
t5 = int(typeName.quantile(5/5))
if count in range(0,t1+1):
return 'type1'
elif count in range(t1+1,t2+1):
return 'type2'
elif count in range(t2+1,t3+1):
return 'type3'
elif count in range(t3+1,t4+1):
return 'type4'
elif count in range(t4+1,t5+1):
return 'type5'
def getleftList():
leftList = []
global random20List
csvSize = len(glp.getFinalCsv())
for i in range(0, csvSize):
if i not in random20List:
leftList.append(i)
return leftList
def getrandom20List():
global random20List
random20List.clear()
csvSize = len(glp.getFinalCsv())
for i in range(0, predicNum):
r = random.randint(0, csvSize)
if r in random20List:
r = r - 1
continue
random20List.append(r)
def getCsvIndex(facType):
csv = glp.getFinalCsv()
oriIndex = csv.keys()
newIndex = []
leftLabelList = []
for each in oriIndex:
newIndex.append(each + 'Type')
oriIndexList = oriIndex.tolist()
oriIndexList.remove(facType)
leftSampleList = oriIndexList
leftLabelList.append(facType + 'Type') #获取的是分类type
#leftLabelList.append(facType) #获取的是原来的数据
return leftSampleList, leftLabelList