def testReal():
category = 7
heatDict = ld.profile2Dict("energyData/meterData/", "Heating:Gas")
coolDict = ld.profile2Dict("energyData/meterData/", "Cooling:Elec")
color_heat = colorRamp(category, "white*-red 1 (red*)", "rgb")
color_cool = colorRamp(category, "white*-blue*", "rgb")
length = 8760
# for key in heatDict:
key = "Hospital"
testlength = 50
heat_bp = ld.breakpt(heatDict[key][:testlength], category,
"quantile")
cool_bp = ld.breakpt(coolDict[key][:testlength], category,
"quantile")
arr_heat = ld.classify(heatDict[key][:testlength], heat_bp)
arr_cool = ld.classify(coolDict[key][:testlength], cool_bp)
arr_cl_heat = [color_heat[x] for x in arr_heat]
arr_cl_cool = [color_cool[x] for x in arr_cool]
mix = mixColor([arr_cl_heat, arr_cl_cool])
arr_cl_heat = [rgb2hex(x[0], x[1], x[2]) for x in arr_cl_heat]
arr_cl_cool = [rgb2hex(x[0], x[1], x[2]) for x in arr_cl_cool]
gridwidth = 20
for i in range(testlength):
f = Canvas(master, width = gridwidth, height = gridwidth)
f.create_rectangle(0, 0, gridwidth, gridwidth, fill =
arr_cl_heat[i])
f.grid(row = 0, column = i)
f = Canvas(master, width = gridwidth, height = gridwidth)
f.create_rectangle(0, 0, gridwidth, gridwidth, fill =
arr_cl_cool[i])
f.grid(row = 1, column = i)
f = Canvas(master, width = gridwidth, height = gridwidth)
f.create_rectangle(0, 0, gridwidth, gridwidth, fill = mix[i])
f.grid(row = 2, column = i)
def testReal_2d():
category = 7
heatDict = ld.profile2Dict("energyData/meterData/", "Heating:Gas")
coolDict = ld.profile2Dict("energyData/meterData/", "Cooling:Elec")
length = 8760
color_2d = colorRamp_2d(category,
[255, 255, 255], [255, 0, 0], [0, 0, 255])
key = "Hospital"
testlength = 50
arr_heat = ld.classify(heatDict[key][:testlength], category,
"quantile")
arr_cool = ld.classify(coolDict[key][:testlength], category,
"quantile")
# get seperate color
color_heat = colorRamp(category, "white*-red 1 (red*)", "rgb")
color_cool = colorRamp(category, "white*-blue*", "rgb")
arr_cl_heat = [color_heat[x] for x in arr_heat]
arr_cl_cool = [color_cool[x] for x in arr_cool]
arr_cl_heat = [rgb2hex(x[0], x[1], x[2]) for x in arr_cl_heat]
arr_cl_cool = [rgb2hex(x[0], x[1], x[2]) for x in arr_cl_cool]
gridwidth = 20
for i in range(testlength):
f = Canvas(master, width = gridwidth, height = gridwidth)
f.create_rectangle(0, 0, gridwidth, gridwidth, fill =
arr_cl_heat[i])
f.grid(row = 0, column = i)
f = Canvas(master, width = gridwidth, height = gridwidth)
f.create_rectangle(0, 0, gridwidth, gridwidth, fill =
arr_cl_cool[i])
f.grid(row = 1, column = i)
f = Canvas(master, width = gridwidth, height = gridwidth)
f.create_rectangle(0, 0, gridwidth, gridwidth,
fill = color_2d[arr_cool[i]][arr_heat[i]])
f.grid(row = 2, column = i)
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("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
heatDict = ld.profile2Dict("energyData/meterData/", "Heating:Gas")
dfHeat = pd.DataFrame(heatDict)
coolDict = ld.profile2Dict("energyData/meterData/", "Cooling:Elec")
dfCool = pd.DataFrame(coolDict)
landDict = readLandShape()
initialDict = {
"SO": "SmallOffice",
"FR": "FullServiceRestaurant",
"MA": "MidriseApartment",
"LO": "LargeOffice",
"HO": "Hospital",
"SS": "SecondarySchool",
"OP": "OutPatient",
"SU": "SuperMarket",
"QR": "QuickServiceRestaurant",
"SM": "StripMall",
