def getWindGraph(dayIndex, startHour):
windGraph = np.zeros((hourNum, xsize, ysize))
df = pd.read_csv(testTrueFile, chunksize=chunksize)
df = jumpDays(df, dayIndex - 1, chunksize)
for _ in range(startHour, hourNum):
windGra = df.get_chunk(chunksize)["wind"]
windGraph[_, :, :] = windGra.values.reshape(xsize, ysize).copy()
return windGraph
def get_Wind_Rain_Graph(dayIndex):
feasible = np.zeros((hourNum,xsize,ysize))
df = pd.read_csv(testTrueFile, chunksize = chunksize)
df = jumpDays(df, dayIndex-1, chunksize)
for _ in range(hourNum):
wind_rain_Gra = df.get_chunk(chunksize)[["wind","rainfall"]]
windGraph_j = wind_rain_Gra["wind"].values.reshape(xsize,ysize).copy()
rainGraph_j = wind_rain_Gra["rainfall"].values.reshape(xsize,ysize).copy()
feasible_j = np.zeros(windGraph_j.shape)
feasible_j[(windGraph_j >= 15) | (rainGraph_j >= 4)] = 1
feasible[_,:,:] = feasible_j.copy()
return feasible
xsize = 548
ysize = 421
maxDay = 5
maxCity = 10
chunksize = xsize * ysize
df1 = pd.read_csv(file, chunksize=chunksize)
block = []
windGraph = np.zeros((18, xsize, ysize))
fullScore = []
for dayNum in [3]: #range(1, maxDay + 1):
df = pd.read_csv(file, chunksize=chunksize)
df = jumpDays(df, dayNum - 1, chunksize)
for _ in range(18):
windGra = df.get_chunk(chunksize)["wind"]
windGraph[_, :, :] = windGra.values.reshape(xsize, ysize).copy()
for cityNum in [5]: #range(1, maxCity + 1):
thre_wind = 15
height = 0
Pathinfo = Path_generator(windGraph, xCity[0], yCity[0],
xCity[cityNum], yCity[cityNum], thre_wind,
height)
# # original algorithm
## Pathinfo = Path_design(windGraph, star_point, end_point, end_point, 0)
# #updated algorithm
#
# try: