本文整理汇总了Python中Main.get_income方法的典型用法代码示例。如果您正苦于以下问题：Python Main.get_income方法的具体用法？Python Main.get_income怎么用？Python Main.get_income使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Main的用法示例。
在下文中一共展示了Main.get_income方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: run
# 需要导入模块: import Main [as 别名]
# 或者: from Main import get_income [as 别名]
def run():
"""
需要:
gloV.LNG_MIN gloV.LNG_MAX
gloV.LAT_MIN gloV.LAT_MAX
gloV.gridId
gloV.incomeList
初始化赋值了:
gloV.communityData
gloV.communityValid
gloV.communityIsVilla
gloV.communityIsBefore2000
gloV.communityGridId
gloV.communitySummary
修改了:
gloV.communityOutput
"""
# -------------------- Get communityDataAll --------------------
# 运行 readDiskData() 之后拥有的变量:
# gloV.communityVariableNameStr
# gloV.communityVariableName
# gloV.communityVariableNamePosition
# gloV.communityOutput
# gloV.communityDataAll
noSave = readDiskData()
if noSave == 'NO_SAVE.':
return noSave
gloV.communityData = []
gloV.communityGridId = []
gloV.communityValid = {}
gloV.communityIsVilla = []
gloV.communityIsBefore2000 = []
for i in gloV.communityVariableName:
gloV.communityValid[i] = []
gloV.communityOutput[0].append('是否别墅')
gloV.communityOutput[0].append('是否早于2000年竣工')
gloV.communityOutput[0].append('Type')
gloV.communityOutput[0].append('GridId')
gloV.communityOutput[0].append('GenerateTime')
for i in gloV.communityDataAll:
if Main.is_valid(i[0]) and Main.is_valid(i[1]):
if Main.is_right_city(i[0], i[1], gloV.communityVariableName, i, gloV.communityVariableNamePosition):
tmpDataStr = []
# 处理 gloV.communityData
tmpData = []
for j in range(0, len(i)):
tmpData.append(i[j])
tmpDataStr.append(str(i[j]))
if j == 2:
if Main.is_valid(i[j]) and Main.get_income(i[j]) != 0:
gloV.communityValid["区县"].append(Main.get_income(i[j]))
elif Main.is_valid(i[j]):
gloV.communityValid[gloV.communityVariableName[j]].append(i[j])
gloV.communityData.append(tmpData)
# 处理 gloV.communityGridId
lngId = int((i[0] - gloV.LNG_MIN) / gloV.lngLeap)
latId = int((i[1] - gloV.LAT_MIN) / gloV.latLeap)
gloV.communityGridId.append(gloV.gridId[latId][lngId])
# 处理 gloV.communityIsVilla
villaVariableList = ['小区类型', '小区特点', '建筑类别', '建筑结构']
villa = False
for k in villaVariableList:
if k in gloV.communityVariableName and '别墅' in i[gloV.communityVariableNamePosition[k]]:
villa = True
break
if villa:
gloV.communityIsVilla.append(1)
tmpDataStr.append('是')
else:
gloV.communityIsVilla.append(0)
tmpDataStr.append('否')
# 处理 gloV.communityIsBefore2000
if '竣工时间' in gloV.communityVariableName:
tmpDate = i[gloV.communityVariableNamePosition['竣工时间']]
if Main.is_valid(tmpDate) and tmpDate.year < 2000:
gloV.communityIsBefore2000.append(1)
tmpDataStr.append('是')
else:
gloV.communityIsBefore2000.append(0)
tmpDataStr.append('否')
else:
gloV.communityIsBefore2000.append(0)
tmpDataStr.append('否')
# 处理 gloV.communityOutput
tmpDataStr.append('社区')
tmpDataStr.append(str(gloV.gridId[latId][lngId]))
tmpDataStr.append(gloV.generateTime)
gloV.communityOutput.append(tmpDataStr)
#.........这里部分代码省略.........
示例2: computeCommunity
# 需要导入模块: import Main [as 别名]
# 或者: from Main import get_income [as 别名]
def computeCommunity():
"""
需要:
gloV.communitySummary
初始化赋值了:
gloV.communityScore
修改了:
gloV.communityOutput
"""
communityIncome = []
communityRongjilv = []
communityPrice = []
communityFamily = []
communityScoreTmp = []
paraPaySum = gloV.paraPayIncome + gloV.paraPayPrice + gloV.paraPayRongjilv
for i in range(0, len(gloV.communityData)):
tmpData = gloV.communityData[i]
# ---对4列参与计算的数据Zoom
# 人均可支配收入
if Main.is_valid(tmpData[2]) and Main.get_income(tmpData[2]) > 0:
communityIncome.append(Main.zoom_data(Main.get_income(tmpData[2]), gloV.communitySummary[5][2], gloV.communitySummary[4][2]))
else:
communityIncome.append(0)
# 容积率
if Main.is_valid(tmpData[3]):
communityRongjilv.append(Main.zoom_rongjilv(tmpData[3]))
else:
communityRongjilv.append(0)
# 均价
if Main.is_valid(tmpData[4]):
communityPrice.append(Main.zoom_data(tmpData[4], gloV.communitySummary[5][4], gloV.communitySummary[4][4]))
else:
communityPrice.append(0)
# 现有户数
if Main.is_valid(tmpData[5]):
communityFamily.append(Main.zoom_family(tmpData[5], gloV.communitySummary[5][5], gloV.communitySummary[4][5]))
else:
communityFamily.append(0)
communityScoreTmp.append(gloV.paraCommunityPay *
(gloV.paraPayIncome * communityIncome[i] +
gloV.paraPayPrice * communityPrice[i] +
gloV.paraPayRongjilv * communityRongjilv[i]) / paraPaySum +
gloV.paraCommunityFamily * communityFamily[i])
# ---计算社区评分
gloV.communityScore = []
gloV.communityOutput[0].append("Score")
communityScoreMin = min(communityScoreTmp)
communityScoreMax = max(communityScoreTmp)
for i in range(0, len(communityScoreTmp)):
gloV.communityScore.append(Main.zoom_data(communityScoreTmp[i], communityScoreMin, communityScoreMax))
gloV.communityOutput[i + 1].append(str(Main.zoom_data(communityScoreTmp[i], communityScoreMin, communityScoreMax)))