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)
with open ('landCord.txt', 'a') as wt:
wt.write ('{0}, {1}, '.format(event.x, event.y))
print event.x, event.y
'''
# reading a table with landuse and coordinates
def readLandShape():
landDict = {}
with open ('input/land.txt', 'r') as rd:
rows = csv.reader(rd)
for row in rows:
key = str(row[1:])
land = row[0]
landDict[key] = land
return landDict
(x, y) = ld.read2dicts()
allDict = dict(zip(x, y))
dfSpaceHeat = pd.DataFrame(allDict["Space Heating"])
dfHeat = pd.DataFrame(allDict["Heating"])
dfElec = pd.DataFrame(allDict["Electricity:Facility"])
dfCool = pd.DataFrame(allDict["Cooling:Electricity"])
dfRecover = pd.DataFrame(allDict["Heat Recover"])
landDict = readLandShape()
initialDict = dict([(initDict[key], key) for key in initDict])
landSelection = []
def plotMethod():
titleDict = {"space heat" : "Space Heating Demand (kBtu)",
"cool" : "Space Cooling Demand (kBtu)",
"heat" : "Heating Demand (kBtu)",
def writeColor(topic, method, category, dirname, istocga, length=None):
(breakpt_heat, breakpt_cool, x) = data2breakpoints(category,
"quantile", topic)
(x, y) = ld.read2dicts()
allDict = dict(zip(x, y))
if (topic == "energy recovery"):
heatDict = allDict["Space Heating"]
coolDict = allDict["Cooling:Electricity"]
colorGrid = colorRamp_2d(category, [255, 255, 255],
[255, 0, 0], [0, 0, 255])
colorHeat = colorRamp_1d(category, [255, 255, 255], [255, 0, 0])
colorCool = colorRamp_1d(category, [255, 255, 255], [0, 0, 255])
else:
heatDict = allDict["Heating"]
coolDict = allDict["Electricity:Facility"]
colorGrid = colorRamp_2d(category, [255, 255, 255],
[255, 0, 0], [0, 255, 0])
colorHeat = colorRamp_1d(category, [255, 255, 255], [255, 0, 0])
colorCool = colorRamp_1d(category, [255, 255, 255], [0, 255, 0])
countDict = ld.bdCountDict
# length = 20
if length is None:
length = 8760
colorDict = {}
colorHeatDict = {}
colorCoolDict = {}
for key in heatDict:
# breakpoint calculated with "quantile" method cannot be used
# to classify other data
if countDict[key] != 0:
heat_class = ar.bucket(heatDict[key], breakpt_heat)
cool_class = ar.bucket(coolDict[key], breakpt_cool)
color_profile = []
color_pro_heat = []
color_pro_cool = []
for i in range(length):
heatId = heat_class[i]
coolId = cool_class[i]
color_profile.append(colorGrid[coolId][heatId])
color_pro_heat.append(colorHeat[heatId])
color_pro_cool.append(colorHeat[coolId])
colorHeatDict[key] = color_pro_heat
colorCoolDict[key] = color_pro_cool
if not istocga:
for key in colorDict:
filename = dirname + key + topic + "Color.txt"
with open (filename, "w") as wt:
mywriter = csv.writer(wt, delimiter=";")
mywriter.writerow(colorDict[key])
print("write to file: " + filename)
else: # write to a file directly pasted to cga
half = length/2
filename = dirname + topic + "Color.txt"
with open (filename, "w") as wt:
mywriter = csv.writer(wt, delimiter=";")
for key in colorDict:
# in classification, max value might not be encountered
mix = colorDict[key][:half]
mix[0] = key + "_01 = '" + mix[0]
mix[-1] = mix[-1] + "'"
mywriter.writerow(mix)
mix = colorDict[key][half:]
mix[0] = key + "_02 = '" + mix[0]
mix[-1] = mix[-1] + "'"
mywriter.writerow(mix)
print("write to row: " + key)
filename = dirname + topic + "-heat-Color.txt"
with open (filename, "w") as wt:
mywriter = csv.writer(wt, delimiter=";")
for key in colorHeatDict:
# in classification, max value might not be encountered
mix = colorHeatDict[key][:half]
mix[0] = key + "_01 = '" + mix[0]
mix[-1] = mix[-1] + "'"
mywriter.writerow(mix)
mix = colorHeatDict[key][half:]
mix[0] = key + "_02 = '" + mix[0]
mix[-1] = mix[-1] + "'"
mywriter.writerow(mix)
print("write to row: " + key)
filename = dirname + topic + "-cool-Color.txt"
with open (filename, "w") as wt:
mywriter = csv.writer(wt, delimiter=";")
for key in colorCoolDict:
# in classification, max value might not be encountered
mix = colorHeatDict[key][:half]
mix[0] = key + "_01 = '" + mix[0]
mix[-1] = mix[-1] + "'"
mywriter.writerow(mix)
mix = colorCoolDict[key][half:]
mix[0] = key + "_02 = '" + mix[0]
mix[-1] = mix[-1] + "'"
mywriter.writerow(mix)
print("write to row: " + key)