Not sure if I have to post again but older things just seem to get ignored.
Please can someone tell me how to write the where clause for
"CRIME_INDE" <= 0.02 AND "UNIVERSITY" = 1
when everthing is a variable.
I have posted my code below. Please ignore the other lines, they all work. The workspaces, paths etc. are user input and are not shown, dont worry - they work. You'll notice several lines of code for the whereclause preceded by # thats because I've tried them and they dont' work. The ONLY part that does not work is the where clauses for SelectLayerByAttribute.
Any suggestions are greatly appreciated so please help.
Scottaidh
[CODE]
# import system modules
import arcpy, os, arcpy
from arcpy import env
arcpy.env.overwriteOutput = True
# get user supplied path, layers and fields
path = arcpy.GetParameterAsText(0) # path is H:\working\Findsites.gdb
cities = arcpy.GetParameterAsText(1) # cities Layer is cities Feature Layer cities.shp
citiesL = "citiesL"
counties = arcpy.GetParameterAsText(2) # counties Layer is counties Feature Layer counties.shp
countiesL ="countiesL"
interstates = arcpy.GetParameterAsText(3) # interstates Layer is Feature Layer interstates.shp
crimeField = arcpy.GetParameterAsText(4) # crimeField is fieldname 'CRIME_INDE' SQL expression
crimefieldindex = arcpy.GetParameterAsText(5) # crime index is CRIME_INDE and is a string 0.02
#whereClause = '"' + crimeField + '" <= " + crimefieldindex'
#whereClause = '"' + crimeField + '" <= ' + "'" + crimefieldindex + "'"
whereClause = "\"%s\" = '%s'" % (crimeField, crimefieldindex)
universityField = arcpy.GetParameterAsText(6) # universityField is fieldname 'UNIVERSITY' SQL expression
universityfieldindex = arcpy.GetParameterAsText(7) # universityfieldindex is the UNIVERSITY field and is string integer 1
#whereClause2 = "'"' + universityField + '" <=' + universityindex"
#whereClause2 = '"' + universityField + '" <= ' + "'" + universityfieldindex + "'"
whereClause2 = "\"%s\" = '%s'" % (universityField, universityfieldindex)
workforceField = arcpy.GetParameterAsText(8) # workforceField is fieldname 'AGE_18_64' SQL expression
workforceindex = arcpy.GetParameterAsText(9) # workforce index is attribute of AGE_18_64 field and is a Double and is 25000
#whereClause3 = "'"' + workforceField + '" >=' + workforceindex"
#whereClause3 = '"' + workforceField + '" >= ' + "'" + workforceindex + "'"
whereClause3 = "\"%s\" = '%s'" % (workforceField, workforceindex)
farmField = arcpy.GetParameterAsText(10) # farmField is fieldname 'NO_FARMS87' SQL expression
farmfieldindex = arcpy.GetParameterAsText(11) # farmfieldindex is the NO_FARMS87 field and is Double integer is 500
#whereClause4 = "'"' +farmField + '" >=' + farmfieldindex"
#whereClause4 = '"' + farmField + '" >= ' + "'" + farmfieldindex + "'"
whereClause = "\"%s\" = '%s'" % (farmField, farmfieldindex)
maxKmInterstate = arcpy.GetParameterAsText(12) # interstate WITHIN_A_DISTANCE linear unit
nearestInterstate = arcpy.GetParameterAsText(13) # Near Table Analysis table generated
targetFeatures = "cityListL" # cities spatial join layer
joinFeatures = "countiesL" # counties spatial join layer
cityListFC = arcpy.GetParameterAsText(14) # narrowed down cities list temporary
cityListL = "CityListL" # the feature layer of the generated cityList feature class
outputLayer = arcpy.GetParameterAsText(15) # ootput
#altwhereclause1 = "CRIME_INDE <= 0.02"
#altwhereclause2 = "UNIVERSITY = 1"
#altwhereclause3 = "AGE_18_64 >= 25000"
#altwhereclause4 = "NO_FARMS87 = 500"
# make a layer from the cities feature class
arcpy.MakeFeatureLayer_management(cities, citiesL)
# select layer by location to interstates
arcpy.SelectLayerByLocation_management(citiesL, "WITHIN_A_DISTANCE", interstates, maxKmInterstate, "NEW_SELECTION")
# Here is the ESRi suggested code for select layer by attribute where clause - doesn't work though
# whereClause = '"' + crimeField + '" <=' + "'" + crimefieldindex + "'"
# arcpy.SelectLayerByAttribute_management(citiesL, "NEW_SELECTION", whereClause + "AND" + whereClause2)
# stack exchange suggestion - whereClause = '"' + PipelineIDField + '" = ' + "'" + fullRouteName + "'"
# from selection above select layer by attribute select "CRIME_IND" <= 0.02 AND "UNIVERSITY" = 1
arcpy.SelectLayerByAttribute_management(citiesL, "NEW_SELECTION", whereClause + "AND" + whereClause2)
# make counties feature layer
arcpy.MakeFeatureLayer_management(counties,countiesL)
# select workforce and number of farms
# new selection on counties layer countiesL "AGE_18_64" >= 25000 AND "NO_FARMS87" >= 500")
arcpy.SelectLayerByAttribute_management(countiesL, "NEW_SELECTION", whereClause3 + "AND" + whereClause4)
# from selection above select cities intersecting counties
arcpy.SelectLayerByLocation_management(citiesL, "INTERSECT", countiesL, "", "SUBSET_SELECTION")
# save selected features
# arcpy.CopyFeatures_management(citiesL, cityListFC)
# arcpy.Select_analysis(citiesL, cityListFC, "")
arcpy.FeatureClassToShapefile_conversion(citiesL, path)
# make temp cities list feature layer so that the output can be spatially joined to counties
# arcpy.MakeFeatureLayer_management(cityListFC,cityListL)
#arcpy.AddField_management(citiesL, "CITYNAME", "TEXT", "", "", "25")
#arcpy.AddField_management(citiesL, "CRIMEINDX", "DOUBLE", "", "", "")
#arcpy.AddField_management(citiesL, "HAS_UNI", "TEXT", "", "", "3")
#arcpy.CalculateField_management(citiesL, "CITYNAME", "!NAME!", "PYTHON")
#arcpy.CalculateField_management(citiesL, "CRIMEINDX", "!CRIME_INDE!", "PYTHON")
#arcpy.CalculateField_management(citiesL, "HAS_UNI", "!UNIVERSITY!", "PYTHON")
#arcpy.DeleteField_management(citiesL,["NAME", "LABEL", "CLASS"])
#arcpy.DeleteField_management(citiesL,["CRIME_INDE", "LABEL", "CLASS"])
#arcpy.DeleteField_management(citiesL,["UNIVERSITY", "LABEL", "CLASS"])
#arcpy.DeleteField_management(citiesL,["ID", "LABEL", "CLASS"])
#arcpy.DeleteField_management(citiesL,["POPULATION", "LABEL", "CLASS"])
#arcpy.DeleteField_management(citiesL,["TOTAL_CRIM", "LABEL", "CLASS"])
# Generate NearTable_analysis to find closest interstate distance
arcpy.GenerateNearTable_analysis(citiesL, interstates, nearestInterstate, maxKmInterstate)
# join new city list layer to generated Near Table
arcpy.AddJoin_management(citiesL, "NEAR_FID", nearestInterstate, "IN_FID")
# Run the Spatial Join tool, using the defaults for the join operation and join type
arcpy.SpatialJoin_analysis(targetFeatures, joinFeatures, outputLayer, "#", "#", "#")
print arcpy.GetMessages()
print "\n*** LAST GEOPROCESSOR MESSAGE (may not be source of the error)***"; print arcpy.GetMessages()
print "Python Traceback Info: " + traceback.format_tb(sys.exc_info()[2])[0]
print "Python Error Info: " + str(sys.exc_type)+ ": " + str(sys.exc_value)
# save selected features FINAL OOTPUT here
# arcpy.CopyFeatures_management(citiesL, outputLayer)
print arcpy.GetMessages()
[\CODE]
Please can someone tell me how to write the where clause for
"CRIME_INDE" <= 0.02 AND "UNIVERSITY" = 1
when everthing is a variable.
I have posted my code below. Please ignore the other lines, they all work. The workspaces, paths etc. are user input and are not shown, dont worry - they work. You'll notice several lines of code for the whereclause preceded by # thats because I've tried them and they dont' work. The ONLY part that does not work is the where clauses for SelectLayerByAttribute.
Any suggestions are greatly appreciated so please help.
Scottaidh
[CODE]
# import system modules
import arcpy, os, arcpy
from arcpy import env
arcpy.env.overwriteOutput = True
# get user supplied path, layers and fields
path = arcpy.GetParameterAsText(0) # path is H:\working\Findsites.gdb
cities = arcpy.GetParameterAsText(1) # cities Layer is cities Feature Layer cities.shp
citiesL = "citiesL"
counties = arcpy.GetParameterAsText(2) # counties Layer is counties Feature Layer counties.shp
countiesL ="countiesL"
interstates = arcpy.GetParameterAsText(3) # interstates Layer is Feature Layer interstates.shp
crimeField = arcpy.GetParameterAsText(4) # crimeField is fieldname 'CRIME_INDE' SQL expression
crimefieldindex = arcpy.GetParameterAsText(5) # crime index is CRIME_INDE and is a string 0.02
#whereClause = '"' + crimeField + '" <= " + crimefieldindex'
#whereClause = '"' + crimeField + '" <= ' + "'" + crimefieldindex + "'"
whereClause = "\"%s\" = '%s'" % (crimeField, crimefieldindex)
universityField = arcpy.GetParameterAsText(6) # universityField is fieldname 'UNIVERSITY' SQL expression
universityfieldindex = arcpy.GetParameterAsText(7) # universityfieldindex is the UNIVERSITY field and is string integer 1
#whereClause2 = "'"' + universityField + '" <=' + universityindex"
#whereClause2 = '"' + universityField + '" <= ' + "'" + universityfieldindex + "'"
whereClause2 = "\"%s\" = '%s'" % (universityField, universityfieldindex)
workforceField = arcpy.GetParameterAsText(8) # workforceField is fieldname 'AGE_18_64' SQL expression
workforceindex = arcpy.GetParameterAsText(9) # workforce index is attribute of AGE_18_64 field and is a Double and is 25000
#whereClause3 = "'"' + workforceField + '" >=' + workforceindex"
#whereClause3 = '"' + workforceField + '" >= ' + "'" + workforceindex + "'"
whereClause3 = "\"%s\" = '%s'" % (workforceField, workforceindex)
farmField = arcpy.GetParameterAsText(10) # farmField is fieldname 'NO_FARMS87' SQL expression
farmfieldindex = arcpy.GetParameterAsText(11) # farmfieldindex is the NO_FARMS87 field and is Double integer is 500
#whereClause4 = "'"' +farmField + '" >=' + farmfieldindex"
#whereClause4 = '"' + farmField + '" >= ' + "'" + farmfieldindex + "'"
whereClause = "\"%s\" = '%s'" % (farmField, farmfieldindex)
maxKmInterstate = arcpy.GetParameterAsText(12) # interstate WITHIN_A_DISTANCE linear unit
nearestInterstate = arcpy.GetParameterAsText(13) # Near Table Analysis table generated
targetFeatures = "cityListL" # cities spatial join layer
joinFeatures = "countiesL" # counties spatial join layer
cityListFC = arcpy.GetParameterAsText(14) # narrowed down cities list temporary
cityListL = "CityListL" # the feature layer of the generated cityList feature class
outputLayer = arcpy.GetParameterAsText(15) # ootput
#altwhereclause1 = "CRIME_INDE <= 0.02"
#altwhereclause2 = "UNIVERSITY = 1"
#altwhereclause3 = "AGE_18_64 >= 25000"
#altwhereclause4 = "NO_FARMS87 = 500"
# make a layer from the cities feature class
arcpy.MakeFeatureLayer_management(cities, citiesL)
# select layer by location to interstates
arcpy.SelectLayerByLocation_management(citiesL, "WITHIN_A_DISTANCE", interstates, maxKmInterstate, "NEW_SELECTION")
# Here is the ESRi suggested code for select layer by attribute where clause - doesn't work though
# whereClause = '"' + crimeField + '" <=' + "'" + crimefieldindex + "'"
# arcpy.SelectLayerByAttribute_management(citiesL, "NEW_SELECTION", whereClause + "AND" + whereClause2)
# stack exchange suggestion - whereClause = '"' + PipelineIDField + '" = ' + "'" + fullRouteName + "'"
# from selection above select layer by attribute select "CRIME_IND" <= 0.02 AND "UNIVERSITY" = 1
arcpy.SelectLayerByAttribute_management(citiesL, "NEW_SELECTION", whereClause + "AND" + whereClause2)
# make counties feature layer
arcpy.MakeFeatureLayer_management(counties,countiesL)
# select workforce and number of farms
# new selection on counties layer countiesL "AGE_18_64" >= 25000 AND "NO_FARMS87" >= 500")
arcpy.SelectLayerByAttribute_management(countiesL, "NEW_SELECTION", whereClause3 + "AND" + whereClause4)
# from selection above select cities intersecting counties
arcpy.SelectLayerByLocation_management(citiesL, "INTERSECT", countiesL, "", "SUBSET_SELECTION")
# save selected features
# arcpy.CopyFeatures_management(citiesL, cityListFC)
# arcpy.Select_analysis(citiesL, cityListFC, "")
arcpy.FeatureClassToShapefile_conversion(citiesL, path)
# make temp cities list feature layer so that the output can be spatially joined to counties
# arcpy.MakeFeatureLayer_management(cityListFC,cityListL)
#arcpy.AddField_management(citiesL, "CITYNAME", "TEXT", "", "", "25")
#arcpy.AddField_management(citiesL, "CRIMEINDX", "DOUBLE", "", "", "")
#arcpy.AddField_management(citiesL, "HAS_UNI", "TEXT", "", "", "3")
#arcpy.CalculateField_management(citiesL, "CITYNAME", "!NAME!", "PYTHON")
#arcpy.CalculateField_management(citiesL, "CRIMEINDX", "!CRIME_INDE!", "PYTHON")
#arcpy.CalculateField_management(citiesL, "HAS_UNI", "!UNIVERSITY!", "PYTHON")
#arcpy.DeleteField_management(citiesL,["NAME", "LABEL", "CLASS"])
#arcpy.DeleteField_management(citiesL,["CRIME_INDE", "LABEL", "CLASS"])
#arcpy.DeleteField_management(citiesL,["UNIVERSITY", "LABEL", "CLASS"])
#arcpy.DeleteField_management(citiesL,["ID", "LABEL", "CLASS"])
#arcpy.DeleteField_management(citiesL,["POPULATION", "LABEL", "CLASS"])
#arcpy.DeleteField_management(citiesL,["TOTAL_CRIM", "LABEL", "CLASS"])
# Generate NearTable_analysis to find closest interstate distance
arcpy.GenerateNearTable_analysis(citiesL, interstates, nearestInterstate, maxKmInterstate)
# join new city list layer to generated Near Table
arcpy.AddJoin_management(citiesL, "NEAR_FID", nearestInterstate, "IN_FID")
# Run the Spatial Join tool, using the defaults for the join operation and join type
arcpy.SpatialJoin_analysis(targetFeatures, joinFeatures, outputLayer, "#", "#", "#")
print arcpy.GetMessages()
print "\n*** LAST GEOPROCESSOR MESSAGE (may not be source of the error)***"; print arcpy.GetMessages()
print "Python Traceback Info: " + traceback.format_tb(sys.exc_info()[2])[0]
print "Python Error Info: " + str(sys.exc_type)+ ": " + str(sys.exc_value)
# save selected features FINAL OOTPUT here
# arcpy.CopyFeatures_management(citiesL, outputLayer)
print arcpy.GetMessages()
[\CODE]