Latest Contributions by LukeWebb

This is a topic of utmost importance! Please can you announce this officially somewhere ESRI? Or show me where it has been as my google skills are obviously bad. We are not in a position to begin using the latest software on live projects until we have reassurance that we will be able to continue to open our maps as you described here: SIngle Use License - if you discontinue maintenance, a user may request a release locked standalone license for Pro.  Pro will not be eligible for updates.  It will open *.aprx's and be locked to that release where maintenance was discontinued.  One would still have access to ArcGIS Online/Portal services. ... View more

I like to triple quote my where Clauses, here is a working version of your own script: arcpy.env.workspace = "C:/DuluthGIS/SchemaUpdate/SDESchemaTest.gdb" workspace = "C:/DuluthGIS/SchemaUpdate/SDESchemaTest.gdb"      #workspace aTable = workspace + "/Gas/gasDistributionMain" # this works aWhereClause ="""             "MAOP" > 0           """  # Non parameterised example aWhereField = 'MAOP' aWhereValue = 0 aWhereClause = """             "%s" > %s         """ % (aWhereField, aWhereValue) # Parameterised example aUpdateField = "OPERATINGPRESSURE" # this works print aWhereClause  #debug rows = arcpy.UpdateCursor(aTable,aWhereClause) for row in rows:     #row.setValue(aUpdateField,row.getValue(aWhereField)) #Probably a crash     row.setValue(aUpdateField, "'" + row.getValue(aWhereField) + "'") #If this one doesnt work try above!     rows.updateRow(row) del rows, row The code isnt copying right on one of the lines maybe.... row.setValue(aUpdateField, "'" + row.getValue(aWhereField) + "'") #If this one doesnt work try above!  ... View more

This is probably highly unrecommended: I use this SQL query to view my domain values outside an Arc environment. (MSSQL) SELECT    codedValue.value('Code[1]','nvarchar(max)') AS "Code",    codedValue.value('Name[1]', 'nvarchar(max)') AS "Value"   FROM sde.GDB_ITEMS AS items INNER JOIN sde.GDB_ITEMTYPES AS itemtypes   ON items.Type = itemtypes.UUID   CROSS APPLY items.Definition.nodes    ('/GPCodedValueDomain2/CodedValues/CodedValue') AS CodedValues(codedValue)   WHERE itemtypes.Name = 'Coded Value Domain' You can also limit it to just one of your domains like I have to view my domain "DOM_STATUS" code value pairs: SELECT    codedValue.value('Code[1]','nvarchar(max)') AS "Code",    codedValue.value('Name[1]', 'nvarchar(max)') AS "Value"   FROM sde.GDB_ITEMS AS items INNER JOIN sde.GDB_ITEMTYPES AS itemtypes   ON items.Type = itemtypes.UUID   CROSS APPLY items.Definition.nodes    ('/GPCodedValueDomain2/CodedValues/CodedValue') AS CodedValues(codedValue)   WHERE itemtypes.Name = 'Coded Value Domain'    AND items.Name = 'DOM_Status' Have never tried, but maybe you could try writing to these tables too -- I stick to using the Arc tools so far! ... View more

The Answer is to just use .py files. There is no need I know where a pyc is required, or difference between using a .py or .pyc   -- apart from a tiny (insignificant) speed boost at loading a pyc. If you are doing GIS, any GIS task will cost 1000x more than compiling a .py file, you are wasting your time if you are doing this for performance reasons. ... View more

Hi there, we do use that within our organisation, need to look at using it for more!  For now, we have switched to using ArcReader for a simple offline product and it seems to be a lot more reliable than ArcExplorer, so we are very happy!! ... View more

Our organisation requires a lightweight LOCAL (Non internet based) viewer for use where internet connectivity is not availble. We have heavily invested into use of ArcGIS online / Server within our workflows already, what benefits does this new explorer have over using ArcGIS online itself? What should we use when we are not able to fall back to our ArcGIS online maps? We currently use ArcGIS Explorer desktop using an exported file GDB for these uses... please can you recommend what we should use in the future? ... View more

Are you sure that when you tried to run the tool, your data was not joined to a dataset? This causes the output field names to come out as: dataset_Fields Which then gets truncated to dataset_ So one of your datasets in the join was called geocoding? ... View more

Its not what you want, but sometimes cutting our expectations is the easier option... How about 2 root "Groups" in the table of contents, mxdA\Layers  and mxdB\Layers.... then your code just swaps the groups that are currently enabled. ... View more

Basic python question here!, you just get the mxd names, as the if statement is never satisfied. To resolve, try changing your code as follows, then you should be able to work out what has happened! import arcpy  from arcpy import env     env.workspace = r"D:\PROJECTS\ab\gis"  counter = 0  for mxdname in arcpy.ListFiles("*.mxd"):      print mxdname      oldText = 'land use'      oldText = oldText + '\n'      oldText = oldText + 'fuel'      mxd = arcpy.mapping.MapDocument(r"D:\PROJECTS\ab\gis\\" + mxdname)      myString = 'free fuel'      myString = myString + '\n'       myString = myString + 'gas'      print "We are looking for a value of: "     print oldText     for elm in arcpy.mapping.ListLayoutElements(mxd, "TEXT_ELEMENT"):          if elm.text == oldText:              print elm.name              elm.text = myString         else:             print "Non Matching Element value of:"             print elm.text     mxd.save()      counter = counter + 1  del mxd  ... View more

When you run a script as a tool, depending on configuration, it does not add the 'layers' from the script to your 'MXD', they happen in different processes and are not connected. You are trying to refer to layers that exist within the "Python" process, that you have not added to the "MXD" at any point, so when you run listDatasets[0], it is returning whatever is already inside the MXD at the top at the time your tool was run, not any of the layers you created earlier in the script. To fix this, add the layers to the MXD within the code if you want to refer to them later on! ... View more

With regards to Edit6, the variable: totalArea Appears to come from the code here:   i = 0  totalArea = 0 print("Comparing site values to constraints...")  # Compare the lumped parameters to the constraint dictionary  for row in arcpy.da.SearchCursor(combo_table, ["DARAS", "HSG", "MEDSLOPE", "MEDWT"]):      i += 1      print i      # Temporarily store the area of each DA for later comparison      print("Compare total area")      for r in arcpy.da.SearchCursor(DA_area, [DAID, "SUM_AREA"]):          # NOTE: DAID *must* be an integer value to function properly.          if r[0] == row[0]:              totalArea = r[1]     #### _______________IMPORT MODULES_________________### print("Preparing necessary files...") import os import arcpy import copy  ### ______________INPUT FILES___________________### outline = r"D:\Python\Inputs\Lakeridge.gdb\LRoutline" DA = r"D:\Python\Inputs\Lakeridge.gdb\SubAreas" DAID = "DA" # field in DA shapefile where unique DA values exist soil = r"D:\Python\Inputs\VB_SoilsPRJ.shp" WTin = r"D:\Python\Inputs\wtdepth1" DEMin = r"D:\Python\Inputs\2013 5ft DEM.img" MapLoc = r"D:\Python\Inputs\LakeRidge.mxd" WT = arcpy.Raster(WTin) DEM = arcpy.Raster(DEMin)  ### ________________SET ENVIRONMENTS__________________### # Check out extension and overwrite outputs arcpy.CheckOutExtension("spatial") arcpy.env.overwriteOutput = True  # Set Map Document mxd = arcpy.mapping.MapDocument(MapLoc)  # Create project folder and set workspace print("Checking for and creating output folders for spatial data...") WorkPath = MapLoc[:-4] if not os.path.exists(WorkPath):     os.makedirs(WorkPath) arcpy.env.workspace = WorkPath  # Create scratch workspace ScratchPath = str(WorkPath) + r"\scratch" if not os.path.exists(ScratchPath):     os.makedirs(ScratchPath) arcpy.env.scratchWorkspace = ScratchPath  # Create GDB path, filename = os.path.split(MapLoc) GDB = filename[:-4] + ".gdb" GDBpath = MapLoc[:-4] + ".gdb" if not os.path.exists(GDBpath):     arcpy.CreateFileGDB_management(path, GDB)  # Create main output table folder if it does not exist and create project folder print("Checking for and creating output space for Excel files...") TabPath = r"D:\Python\Results" "\\" ProjFolder = TabPath + filename[:-4] if not os.path.exists(TabPath):     os.makedirs(TabPath) if not os.path.exists(ProjFolder):     os.makedirs(ProjFolder)  # Define location of constraint database and establish GIS table output location print("Checking for and creating output space for GIS tables...") CRIT = TabPath + "constraints.xlsx" BMPFold = ProjFolder + r"\GIS-Tables" if not os.path.exists(BMPFold):     os.makedirs(BMPFold)  ### _________________VERIFY INPUTS________________### # Check that all inputs have the same projection and update list with projected file path names print("Verifying that coordinate systems are the same...") InSHP = [outline, DA, soil] InRAS = [WT] # The base projected coordinate system (PCS) is the DEM's PCS DEMSR = arcpy.Describe(DEM).spatialReference.PCSCode for i, l in enumerate(InSHP):     sr = arcpy.Describe(l).spatialReference.PCScode     if sr != DEMSR and ".gdb" not in l:         l = arcpy.Project_management(l, l[:-4] + "PRJ.shp", DEMSR)         InSHP = l     elif sr != DEMSR and ".gdb" in l:         l = arcpy.Project_management(l, l + "PRJ", DEMSR)         InSHP = l sr = arcpy.Describe(WT).spatialReference.PCScode if sr != DEMSR:         WTPRJ = arcpy.Raster(arcpy.ProjectRaster_management(WT, "WTPRJ", DEMSR, "CUBIC"))         WTPRJ.save(WorkPath + r"\WT_PRJ")         WT = WTPRJ  # Assign projected file paths to variable names outline = InSHP[0] DA = InSHP[1] soil = InSHP[2]  ### _____________SET PROCESSING EXTENTS____________ ### # Set cell size description = arcpy.Describe(DEM) cellsize = description.children[0].meanCellHeight print("Setting cell size to DEM cell size: " + str(cellsize) + " ft...")  # Replace ft with code to get units!!! arcpy.env.cellSize = cellsize  # Create buffer around outline to use as mask # Buffer distance is in feet print("Creating an environment mask from the site outline shapefile...") maskshp = arcpy.Buffer_analysis(outline, ScratchPath + r"\outline_buff", "50 Feet", "", "", "ALL",)  # Convert buffer to raster mask = arcpy.Raster(arcpy.PolygonToRaster_conversion(maskshp, "Id", ScratchPath + r"\rastermask")) mask.save(ScratchPath + r"\rastermask")  # Set raster mask and snap raster print("Setting raster mask and snap raster for project...") arcpy.env.mask = mask arcpy.env.snapRaster = mask arcpy.env.extent = mask.extent  ### _______________ASSIGN HSG________________### # Many soils in the coastal plain are dual group soils, A/D, B/D, or C/D. # First letter is the drained condition and second letter is the undrained # condition. Soil is considered drained when the depth to water table is # greater than two feet from the surface. # This looks at the HSG assigned to the soil polygon and compares it # to the depth to WT layer.  If HSG is unknown or invalid, # HSG is assigned D soil type.  # Convert soils shapefile to raster and assign integer values to HSG. # A=1, B=2, C=3, 4=D and dual groups A/D=14, B/D=24, C/D=34 # "---" is treated as a D soil print("Converting dual group soils to single groups...") SoilUnclass = arcpy.PolygonToRaster_conversion(soil, "HSG", ScratchPath + r"\SoilUnclass", "MAXIMUM_COMBINED_AREA") SoilClass = arcpy.sa.Reclassify(SoilUnclass, "HSG", arcpy.sa.RemapValue([["A", 1],                        ["B", 2],                        ["C", 3],                        ["D", 4],                        ["A/D", 14],                        ["B/D", 24],                        ["C/D", 34],                        ["---", 4]]), "NODATA") SoilClass.save(ScratchPath + r"\HSGraster")  # Determine whether locations with dual groups should be considered drained # or undrained and assign a single HSG value to those locations EffHSG = arcpy.sa.Con(SoilClass > 4, arcpy.sa.Con(WT >= 2.0, (SoilClass - 4) / 10, 4), SoilClass) EffHSG.save(WorkPath + r"\EffectiveHSG")  ### ______________SUMMARIZE DA PROPERTIES________________ ### # Initialize expression to calculate area of polygons exparea = "float(!shape.area@ACRES!)"  # Summarize total area for each DA print("Summarizing DA characteristics...") DAFld = [f.name for f in arcpy.ListFields(DA)] if "Area" not in DAFld:     arcpy.AddField_management(DA, "Area", "FLOAT", 6, 3) arcpy.CalculateField_management(DA, "Area", exparea, "PYTHON") stat_field = [["Area", "SUM"]] field_combo = [DAID] DA_area = arcpy.Statistics_analysis(DA, BMPFold + r"\DA_area", stat_field, field_combo)  # Convert DA shapefile to raster DAras = arcpy.Raster(arcpy.PolygonToRaster_conversion(DA, DAID, ScratchPath + r"\DAras", "MAXIMUM_AREA"))  # Calculate Slope from DEM for the area of interest, convert to integer #  and find median slope in each DA slope = arcpy.sa.Slope(DEM, "PERCENT_RISE") slope.save(WorkPath + r"\slope") roundslope = (slope + 0.005) * 100.00  # preserve the last 2 decimal places and round for truncation slopeINT = arcpy.sa.Int(roundslope)  # convert to integer by truncation med_slope100 = arcpy.sa.ZonalStatistics(DAras, "VALUE", slopeINT, "MEDIAN", "DATA")  # find median (integer operation) med_slope100.save(ScratchPath + r"\intslope") med_slope = med_slope100 / 100.00  # convert back to true median value med_slope.save(WorkPath + r"\medslope")  # Find the median depth to water table in each DA rounded to 2 decimal places roundWT = (WT + 0.005) * 100.00  # preserve the last 2 decimal places and round for truncation WTINT = arcpy.sa.Int(roundWT)  # convert to integer by truncation med_WT100 = arcpy.sa.ZonalStatistics(DAras, "VALUE", WTINT, "MEDIAN", "DATA")  # find median (integer operation) med_WT100.save(ScratchPath + r"\intWT") med_WT = med_WT100 / 100.00  # convert back to true median value med_WT.save(WorkPath + r"\medWT")  # Combine rasters to give unique combinations combo = arcpy.sa.Combine([DAras, EffHSG, med_WT100, med_slope100]) combo.save(WorkPath + r"\combo") combo_table = arcpy.BuildRasterAttributeTable_management(combo)  # Convert integers to usable format arcpy.AddField_management(combo_table, "HSG", "TEXT", "", "", 6) arcpy.AddField_management(combo_table, "MEDSLOPE", "FLOAT", 5, 2) arcpy.AddField_management(combo_table, "MEDWT", "FLOAT", 5, 2) with arcpy.da.UpdateCursor(combo_table, ["EFFECTIVEHSG", "HSG", "INTSLOPE", "MEDSLOPE", "INTWT", "MEDWT"]) as cursor:     for row in cursor:         if row[0] == 1:             row[1] = "A"         if row[0] == 2:             row[1] = "B"         if row[0] == 3:             row[1] = "C"         if row[0] == 4:             row[1] = "D"         row[3] = float(row[2]) / 100.00         row[5] = float(row[4]) / 100.00         cursor.updateRow(row)  ### _____________COMPARE CRITERIA_____________________ ### print("Loading constraint database...") # Convert Excel constraint file to GIS table compare = arcpy.ExcelToTable_conversion(CRIT, BMPFold + r"\BMP-constraints") Fields = [f.name for f in arcpy.ListFields(compare)] # Create dictionary from criteria table # Code is the key, other values are stored as a list D = {r[1]:(r[2:]) for r in arcpy.da.SearchCursor(compare, Fields)}  # Codes: # SDAB Simple Disconnection A&B # SDCD Simple Disconnection C&D # SDSA Simple Disconnection C&D with Soil Amendments # CAAB Sheet Flow Conservation Area A&B # CACD Sheet Flow Conservation Area C&D # VFA Sheet Flow Veg Filter A # VFSA Sheet Flow Veg Filter B,C&D with Soil Amendments # GCAB Grass Channel A&B # GCCD Grass Channel C&D # GCSA Grass Channel C&D with Soil Amendments # MI1 Micro Infiltration- Level 1 # SI1 Small Infiltration- Level 1 # CI1 Conventional Infiltration- Level 1 # MI2 Micro Infiltration- Level 2 # SI2 Small Infiltration- Level 2 # CI2 Conventional Infiltration- Level 2 # BRE1 Bioretention Basin- Level 1 # BRE2 Bioretention Basin- Level 2 # DS1 Dry Swale- Level 1 # DS2 Dry Swale- Level 2 # WS1 Wet Swale- Level 1 # WS2 Wet Swale- Level 2 # F1 Filter- Level 1 # F2 Filter- Level 2 # CW1 Constructed Wetland- Level 1 # CW2 Constructed Wetland- Level 2 # WP1 Wet Pond- Level 1 # WP2 Wet Pond- Level 2 # WPGW1 Wet Pond with GW- Level 1 # WPGW2 Wet Pond with GW- Level 2 # EDP1 ED Pond- Level 1 # EDP2 ED Pond- Level 2  # Reference: # 0 - BMP # 1 - RR # 2 - PR # 3 - TPR # 4 - NR # 5 - TNR # 6 - SOIL # 7 - MAX_SLOPE # 8 - MIN_CDA # 9 - MAX_CDA # 10 - WT_SEP # 11 - WT_RELAX (boolean) # 12 - COAST_SEP # 13 - MIN_DEPTH # 14 - DEPTH_RELAX (boolean) # 15 - COAST_MIN_DEPTH # 16 - PWOP_PREF # 17 - YEAR_COST  # Create output table for BMPs lumped by DA and HSG with criteria table as template Lump = arcpy.CreateTable_management(BMPFold + "\\", "BMP-Allowable") drop = ["OBJECTID", "FIELD1"] arcpy.AddField_management(Lump, "CODE", "TEXT", "", "", 8) arcpy.AddField_management(Lump, "DA", "TEXT", "", "", 15) arcpy.AddField_management(Lump, "HSG", "TEXT", "", "", 6) arcpy.AddField_management(Lump, "BMP", "TEXT", "", "", 50) arcpy.AddField_management(Lump, "MOD", "TEXT", "", "", 25) arcpy.AddField_management(Lump, "RR", "SHORT") arcpy.AddField_management(Lump, "PR", "SHORT") arcpy.AddField_management(Lump, "TPR", "SHORT") arcpy.AddField_management(Lump, "NR", "SHORT") arcpy.AddField_management(Lump, "TNR", "SHORT") arcpy.AddField_management(Lump, "PWOP_PREF", "TEXT", "", "", 25) arcpy.AddField_management(Lump, "YEAR_COST", "TEXT", "", "", 30) arcpy.DeleteField_management(Lump, drop) Fields = [f.name for f in arcpy.ListFields(Lump)]  # Create table to build "Rejected BMP" table Fail = arcpy.Copy_management(Lump, BMPFold + "\\" + r"\BMP-Rejected") arcpy.AddField_management(Fail, "RSN_FAILED", "TEXT", "", "", 50) drop = ["BMP", "MOD", "RR", "PR", "TPR", "NR", "TNR", "PWOP_PREF", "YEAR_COST"] arcpy.DeleteField_management(Fail, drop) FFields = [f.name for f in arcpy.ListFields(Fail)]  i = 0  print("Comparing site values to constraints...") # Compare the lumped parameters to the constraint dictionary for row in arcpy.da.SearchCursor(combo_table, ["DARAS", "HSG", "MEDSLOPE", "MEDWT"]):     i += 1     print i     # Temporarily store the area of each DA for later comparison     print("Compare total area")     for r in arcpy.da.SearchCursor(DA_area, [DAID, "SUM_AREA"]):         # NOTE: DAID *must* be an integer value to function properly.         if r[0] == row[0]:             totalArea = r[1]     # Duplicate criteria dictionary that can be amended throughout the loop     print("Copy BMP")     BMP = copy.deepcopy(D)     # Initialize empty dictionary to store BMPs that fail each test     print("Initialize empty dictionaries")     NoBMP = {}     Mod = {}     # Compare lumped values in each DA/HSG pair to those in the constraint table     print("Begin dictionary loop")     for k, v in D.items():         # Test if soil type is incorrect for each BMP and store reason for failure         print("Soil test")         if row[1] not in v[6]:             NoBMP = "Soil type mismatch"         # Compare median slope to maximum slope         if row[2] > v[7]:             if k not in NoBMP.keys():                 NoBMP = "Slope too steep"             else:                 NoBMP += ", Slope too steep"         # Compare WT depths         print("WT depth test")         if v[10] == 0:             Mod = "---"         elif v[13] + v[10] <= row[3]:             Mod = "---"         elif v[13] + v[10] > row[3]:             # Check if coastal modification allows use of practice             if v[11] == 1:                 coast_WT = v[12]             else:                 coast_WT = v[10]             if v[14] == 1:                 coast_depth = v[15]             else:                 coast_depth = v[13]             # Notate if coastal modification allows for practice use             if coast_WT + coast_depth <= row[3]:                 if v[11] == 1 and v[14] == 1:                     Mod = "Separation and Depth"                 elif v[11] == 1:                     Mod = "WT Separation"                 elif v[14] == 1:                     Mod = "Practice Depth"                 else:                     Mod = "---"             # Remove the practice if coastal modifications do not help             if coast_WT + coast_depth > row[3]:                 if k not in NoBMP.keys():                     NoBMP = "WT proximity"                 else:                     NoBMP += ", WT proximity"         # Compare allowable contributing drainage areas (in acres)         # Maximum CDA neglected because this is lumped analysis         print("Compare areas")         if v[8] >= totalArea:             if k not in NoBMP.keys():                 NoBMP = "CDA too small"             else:                 NoBMP += ", CDA too small"     # Compare keys in BMP and NoBMP dictionaries. Remove matching pairs from the BMP dictionary.     print("Removing bad BMPs from the BMP dictionary")     for key in BMP.keys():         if key in NoBMP.keys():             del BMP[key]     # Write remaining BMPs to table     print("Writing BMPs to output table")     with arcpy.da.InsertCursor(Lump, Fields) as cursor:         for k,v in BMP.items():             cursor.insertRow((0, k, row[0], row[1], v[0], Mod , v[1], v[2], v[3], v[4], v[5], v[16], v[17]))  # Sort values in table, effectively ranking them print("Ranking BMPs...") LumpSort = arcpy.Sort_management(Lump, BMPFold + "\\LumpSort",                                  [["DA", "ASCENDING"], ["HSG", "ASCENDING"], ["TPR", "DESCENDING"]]) arcpy.DeleteField_management(LumpSort, ["ROWID"])  # Convert tables to readable format outside of GIS (.xls) print("Converting good BMPs to Excel format...") arcpy.TableToExcel_conversion(LumpSort, ProjFolder + r"\Lumped-Result.xls") The  local variable referenced before assigned, is flagged as this part of the code may never get to line 11 in my quote, due to the if statements. This may never happen, but pycharm cant see your data so flags it as a possible error as when you do the check in: if v[8] >= totalArea:   Depending on your data, totalArea may not exist yet! You could avoid this being flagged by assigning a default value for this variable as I have sort of shown above. ... View more