I have a folder contains groups of raster as:
These raster are for several months upto DEC. I want to sum each day in this folder. I have tried to split the file name at (z) and then list all the rasters which have a common similar second part and then do the summation using cell statistics. I used fnmatch to do this but it return empty list. Any suggestions!
import os, arcpy, fnmatch
import arcpy.sa
from arcpy import env
arcpy.CheckOutExtension("Spatial")
arcpy.env.overwriteOutput = True
finalRasterFold = "E:\Drive_GGGGGG\PhD_AinShams\PhD_Proposal_RainNetwork\Frequency_Files\Con_1_0"
outDayRasterFold = r"D:\PhD_work\Rasters_Day"
arcpy.env.workspace = finalRasterFold
RainRasterList = arcpy.ListRasters('*')
for h in range(0,24):
DayRainRaster = []
j =[]
for n in RainRasterList:
fn1, fn2 = n.split('z')
if fnmatch.filter(n[3:], fn2):
j.append(n)
j = arcpy.Raster()
DayRainRaster.append(j)
arcpy.gp.CellStatistics(DayRainRaster,outDayRasterFold + r"\DayRas" + str(h),"SUM","DATA")
You can use the defaultdict
from the collections
module to keep count of the number of occurrences for each day.
from collections import defaultdict
day_count = defaultdict(int)
for n in RainRasterList:
fn1, fn2 = n.split('z')
day_count[fn2] += 1
print(day_count)
@James.. I find a way to do it inspired by your answer.
newlist = []
for n in RainRasterList:
fn1, fn2 = n.split('z')
temp = (fn2, n)
newlist.append (s)
for k, v in newlist:
day_count[k].append(v)
day_count.items()
rlist =[]
for k, v in day_count.iteritems():
rlist.append(v)
for i in range(len(rlist)):
arcpy.gp.CellStatistics(rlist[i], outDayRasterFold + r"\D" + str(rlist[i][1]),"SUM","DATA")
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