GIS-featuresExtract_Trials.txt

 fields = ['OBJECTID']
 with arcpy.da.SearchCursor(fields) as cursor:
 for row in cursor:
 select = 'OBJECTID = {}'.format(row[0])        
 arcpy.SelectLayerByAttribute_management('tractsLyr','NEW_SELECTION',select)
 
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#Making watershed for every point

from arcpy.sa import *

PointLayer="Points"

fields = ['OID']

#Limting number of rows in the field
exp='OID<10'

# Set local variables
inFlowDirection = "FlowDir_dem_2"

with arcpy.da.SearchCursor(PointLayer, fields, exp) as cursor: 
   for row in cursor:
       ##Select a row of PointLayer
       inPourPointData = 'OID = {}'.format(row[0])
	   arcpy.SelectLayerByAttribute_management(PointLayer,'NEW_SELECTION',select)
   
       ##Create a temporary feature class
       ####Temporary point layer 
       out_path = "D:/VU/Re/DC_Data"
       out_name = "temp-pour.shp"
       geometry_type = "POINT"
       template = "Points"
       has_m = "DISABLED"
       has_z = "DISABLED"
       # Use Describe to get a SpatialReference object
       spatial_ref = arcpy.Describe("D:/VU/Re/DC_Data/dem_ratertopoint.shp").spatialReference
       # Execute CreateFeatureclass
       arcpy.CreateFeatureclass_management(out_path, out_name, geometry_type, template, 
                                    has_m, has_z, spatial_ref) 
   
       ###Copy from original point layer
       arcpy.management.CopyFeatures(inPourPointData, out_name)
       
	   ###Execute Watershed
       outWatershed = Watershed('FlowDir_Fill1', out_name)
       
       # Save the output 
       inR = outWatershed.save("D:/VU/Re/DC_Data/outwtrshd02.tif")
	   
	   ###We need watershed polygon layer...   
       outpoly = "D:/VU/Re/DC_Data/outwtr.shp"
       arcpy.RasterToPolygon_conversion(outWatershed, outpoly)
	   
       arcpy.SelectLayerByAttribute_management(outpoly,'NEW_SELECTION')
   
       # Set local variables
       inPointFeatures = arcpy.SelectLayerByLocation_management(PointLayer,"INTERSECT",outpoly,"","NEW_SELECTION")
       inRaster = "Slope_Fill_d3"
       outPointFeatures = "C:/Users/Himel/Documents/ArcGIS/Projects/MyProject/extractvaluespts.shp"

       # Execute ExtractValuesToPoints ###Why not extracting only the rastervalue field???
       ExtractValuesToPoints(inPointFeatures, inRaster, outPointFeatures,
                      "INTERPOLATE", "VALUE_ONLY")


       ###Step 3: Calculate the average and add in the main watershed table
       na = arcpy.da.TableToNumPyArray('extractvaluespts', 'RASTERVALU')
       mean = numpy.mean(na['RASTERVALU'])
	   
       arcpy.management.DeleteFeatures(out_name)

       print(mean)   
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