def data2breakpoints(cate, method, topic):
(x, y) = ld.read2dicts()
allDict = dict(zip(x, y))
if (topic == "energy recovery"):
heatDict = allDict["Space Heating"]
coolDict = allDict["Cooling:Electricity"]
else:
heatDict = allDict["Heating"]
coolDict = allDict["Electricity:Facility"]
countDict = ld.bdCountDict
totalheat = ld.total_count(countDict, heatDict)
totalheat = [x for x in totalheat if x != 0.0]
totalcool = ld.total_count(countDict, coolDict)
totalcool = [x for x in totalcool if x != 0.0]
breakpt_heat = ld.breakpt(totalheat, cate, method, False)
breakpt_cool = ld.breakpt(totalcool, cate, method, False)
coloridDict = {}
for key in heatDict:
if countDict[key] > 0:
coloridDict[key] = zip(ar.bucket(heatDict[key],
breakpt_heat),
ar.bucket(coolDict[key],
breakpt_cool))
return(breakpt_heat, breakpt_cool, coloridDict)
dif = maxtotal - mintotal
ratio = round(float(dif)/maxtotal, 3)
if cate == "Heating":
energy += ('Max Heaing Demand (Gas)/kBtu: {0}\n'+
'Min Heaing Demand (Gas)/kBtu: {1}\n'+
'Heating Demand Variation/kBtu: {2}\n'+
'Heating Energy Variation Ratio: {3}\n\n').format(maxtotal, mintotal, dif, ratio)
else:
energy += ('Max Cooling Demand (Electricity)/kBtu: {0}\n'+
'Min Cooling Demand (Electricity)/kBtu: {1}\n'+
'Cooling Demand Variation/kBtu: {2}\n'+
'Cooling Energy Variation Ratio: {3}\n\n').format(maxtotal, mintotal, dif, ratio)
return energy
# classify data
totalheat = ld.total_count(countDict, heatDict)
totalcool = ld.total_count(countDict, coolDict)
totalheat = [x for x in totalheat if x != 0.0]
totalcool = [x for x in totalcool if x != 0.0]
heat_breakpt = ld.breakpt(totalheat, category, "quantile", False)
cool_breakpt = ld.breakpt(totalcool, category, "quantile", False)
# create 2d colorRamp
colorGrid = cl.colorRamp_2d(category,[255, 255, 255],
[255, 0, 0], [0, 255, 0])
color_2d = createColorScheme(category, 0, dim, size)
heatColorDict = {}
for key in heatDict:
if countDict[key] != 0:
heatColorDict[key] = ar.bucket(heatDict[key], heat_breakpt)
