Latest Contributions by ZoeZaloudek

Upon closer inspection, you did put ServiceLabel the first time.  I was trying LayerLabel for whatever reason. So, I tried ServiceLabel in place of LayerLabel.  It did remove the title from the legend (August 2015, Average Temperature (°F) ), but the field name (Temp) was still there... ... View more

This was interesting.  So, I added this line to the <style> section of my htm file: .esriLegendLayerLabel{display:none !important; } However, the field name was still showing in the legend. But, then I switched the version of the API I was referencing... I changed from 3.14 back to 3.13.  And that seemed to do the trick, the field name was not showing any more.  Unfortunately, I was purposely using 3.14 because can easily round/pad the decimal numbers for polygon labels in my feature layer...  So for now at least, I guess we'll just have to decide which is more important to us. ... View more

OK, FIrefox has an inspector as well. I haven't used it much, but now's a good time to start, right! Here's the link to our ENSO Comparison Tool.​ ... View more

Aha!  That was it!  The labels round/pad correctly now.  Thanks for digging into this with me! ... View more

Hm, I edited my code to match, but that still didn't do it.  The label symbol looks different though. It must be something else in my code that's messing it up.  There's a lot more going on in addition to the label changes - changing symbology, text, etc.  I figured out how to share on JS Bin (which I didn't even know about until I saw the examples that Kelly Hutchins posted-thanks!) and put the whole thing here: JS Bin - Collaborative JavaScript Debugging ... View more

Well, I got LabelClass to work, so I've partially succeeded.  However, setting the fieldInfos>format>places doesn't seem to be doing the trick for me.  Here's the code I implemented.  The variables flayer, field and labelCDvSymbol are defined earlier in my code. var labelsCDs = new LabelClass({labelExpressionInfo: {"value": "{"+field+"}"}, minScale: 10000000}); labelsCDs.fieldInfos = [{"fieldName": field, "format": {"places": 1}}]; labelsCDs.symbol = labelCDvSymbol; console.log(labelsCDs); fLayer.setLabelingInfo([labelsCDs]); The labels show the correct field and font/symbol, but they're still just not rounded/padded to the tenth.  I can see in the console that the fieldInfos>format>places has been set to 1. ... View more

Ah, I see - use LabelClass instead of LabelLayer.  I think I may have initially blown off LabelClass since the documentation seems to be for ArcGISDynamicMapServiceLayer instead of FeatureLayer. The example is very helpful, I got LabelClass to work with the FeatureLayer in my web map pretty quickly.  Thanks! Not sure if it's possible to mark two answers as correct in the forums (since Tim's suggestion worked as well)...  But I'm definitely marking this as helpful. ... View more

You know what, that did the trick.  Maybe not the most elegant solution, I'm still open to other ideas, but right now this works so I'm running with it.  Just had to add a few lines of code around my addFeatureLayer line that I'd posted above.  map.removeLayer(lLayer); lLayer = new LabelLayer('layerlabel','STATIC'); lLayer.minScale = 10000000; lLayer.addFeatureLayer(fLayer, labelRenderer, ("{" + field + "}")); map.addLayer(lLayer); ... View more

I also find that the ExportToPNG() line appears to be where my script fails.  One difference that I see between our scripts is that I only use one mxd for exporting. I have at least figured out that only certain map sets fail, so at this point I have gotten my script to run all the way through without crashing... but I now it only makes half of the maps that it used to.  I wonder if this is related to Python 2.7, since everything was fine with ArcGIS 10.0 and Python 2.6. I tried to shave my code down (I omitted the data creation / geoprocessing portion of the script since it works fine every time), but it is still kinda long for a forum post.  Well, here it is: import string, os, sys, datetime, shutil, arcpy, urllib, gc # Set Folder Folder = r'C:\Users\username\VegetationImpactProgram' print Folder #Other variables... FGDB = Folder + '\\freeze\\stations.gdb' FGDBras = Folder + '\\freeze\\rasters.gdb' FGDBgddras = Folder + '\\freeze\\gddrasters.gdb' mapsfolder = Folder + '\\maps\\freeze\\stationdata' themxd = Folder + '\\mxd_templates\\freeze_stationdata.mxd' dpi = 100 # Lists cwa010 = ('SEW', 'OTX', 'PQR', 'PDT', 'MFR', 'BOI') cwa020 = ('EKA', 'STO', 'REV', 'LKN') cwa030 = ('HNX', 'LOX', 'SGX', 'VEF', 'MTR') cwa040 = ('MSO', 'TFX', 'PIH', 'GGW', 'BYZ', 'RIW', 'CYS') cwa050 = ('SLC', 'GJT', 'BOU', 'PUB') cwa060 = ('PSR', 'FGZ', 'TWC', 'ABQ', 'EPZ') cwa070 = ('BIS', 'FGF', 'UNR', 'ABR', 'FSD') cwa080 = ('LBF', 'GID', 'GLD', 'DDC', 'TOP', 'ICT', 'OAX') cwa090 = ('AMA', 'LUB', 'OUN', 'TSA') cwa100 = ('MAF', 'SJT', 'FWD', 'EWX', 'HGX', 'CRP', 'BRO') cwa110 = ('DLH', 'MPX', 'ARX') cwa120 = ('DVN', 'LOT', 'ILX', 'DMX') cwa130 = ('EAX', 'SGF', 'LSX', 'PAH') cwa140 = ('LZK', 'SHV', 'LCH', 'MEG', 'JAN', 'LIX') cwa150 = ('MQT', 'GRB', 'MKX', 'APX', 'GRR', 'DTX') cwa160 = ('CLE', 'ILN', 'RLX', 'IWX', 'IND') cwa170 = ('LMK', 'OHX', 'JKL', 'MRX') cwa180 = ('FFC', 'HUN', 'BMX', 'MOB') cwa190 = ('CAR', 'GYX', 'BTV', 'ALY', 'BOX', 'OKX') cwa200 = ('BUF', 'BGM', 'CTP', 'PHI', 'PBZ') cwa210 = ('LWX', 'RNK', 'AKQ') cwa220 = ('RAH', 'MHX', 'ILM', 'GSP', 'CAE', 'CHS') cwa230 = ('TAE', 'JAX', 'MLB', 'TBW', 'MFL', 'KEY') cwaall = cwa010 + cwa020 + cwa030 + cwa040 + cwa050 + cwa060 + cwa070 + cwa080 + cwa090 + cwa100 + cwa110 + \          cwa120 + cwa130 + cwa140 + cwa150 + cwa160 + cwa170 + cwa180 + cwa190 + cwa200 + cwa210 + cwa220 + cwa230 areas = (['010',cwa010,'-117.0',0.1,10000,0],['020',cwa020,'-118.0',0.25,10000,25000],['030',cwa030,'-112.0',0.1,10000,0], \          ['040',cwa040,'-108.0',0.1,0,0],['050',cwa050,'-107.0',0.15,0,0],['060',cwa060,'-110.0',0.2,0,0], \          ['070',cwa070,'-100.0',0.1,0,0],['080',cwa080,'-100.0',0.1,0,0],['090',cwa090,'-99.0',0.2,0,0], \          ['100',cwa100,'-100.0',0.1,0,0],['110',cwa110,'-95.0',0.15,0,10000],['120',cwa120,'-91.0',0.15,0,0], \          ['130',cwa130,'-92.0',0.25,0,0],['140',cwa140,'-92.0',0.1,10000,0],['150',cwa150,'-88.0',0.1,0,0], \          ['160',cwa160,'-86.0',0.1,20000,-10000],['170',cwa170,'-88.0',0.2,-70000,0],['180',cwa180,'-88.0',0.1,10000,0], \          ['190',cwa190,'-78.0',0.05,-70000,0],['200',cwa200,'-80.0',0.05,-20000,0],['210',cwa210,'-81.0',0.2,-50000,0], \          ['220',cwa220,'-83.0',0.2,0,0],['230',cwa230,'-86.0',0.1,-10000,15000],['US',cwaall,'-100.0',-0.19,-150000,-50000]) types = ['pt', 'py'] temps = ['32', '28'] varis = ['dtf', 'date', 'days', 'dblw'] gdd_temps = ['mg', '42', '45', '50', '54'] mapsets = ['pt_sus','pt_lmin','py_lmin','pt_mmin','py_mmin'] # Start to Calculate the list of maps to make for vari in varis:     for temp in temps:         for type in types:             mapsets.append(type + '_' + vari + '_' + temp)             # Set today's date and time today = datetime.datetime.today() todaydate = today.strftime('%m%d') thisyear = today.strftime('%Y') thismonth = today.strftime('%m') if thismonth == '1' or thismonth == '2' or thismonth == '01' or thismonth == '02':     marfirst = datetime.datetime((int(thisyear)-1), 3, 1) else:     marfirst = datetime.datetime((int(thisyear)), 3, 1) date = today.strftime('%Y%m%d') # Figure out what month this is (to choose symbology) thismonthabv = today.strftime('%b') # Figure out which end dates to use for GDD (based on today's date) gdd_dates = [] for temp in temps:     gdd_dates.append('lt' + temp)   # Calculate the rest of the mapset list for temp in gdd_temps:     for date in gdd_dates:         for typ in types:             mapsets.append(typ + '_gd_' + temp + '_' + date) # add all GDD to mapsets print 'mapsets:', len(mapsets), mapsets # # The next portions of the script include gathering and reading input data sources, # # creating point, polygon and raster data, and calculating these string variables: # == datadate, titledate, frzpoints_lyr, frzpoints_name, frzpoints_full_name, thiessens ==     # Make all the maps! gc.enable() try:     # set mxd     mxd = arcpy.mapping.MapDocument(themxd)         # make up layer variables for the layers in the mxd     dataframe = arcpy.mapping.ListDataFrames(mxd, 'Layers')[0]     cwaareaslyr = arcpy.mapping.ListLayers(mxd, 'CWA_areas', dataframe)[0]     cwaslyr = arcpy.mapping.ListLayers(mxd, 'CWA_bndy', dataframe)[0]     stateslyr = arcpy.mapping.ListLayers(mxd, 'States', dataframe)[0]     statesloreslyr = arcpy.mapping.ListLayers(mxd, 'States_lores', dataframe)[0]     countieslyr = arcpy.mapping.ListLayers(mxd, 'US_Counties', dataframe)[0]     countiesloreslyr = arcpy.mapping.ListLayers(mxd, 'US_Counties_lores', dataframe)[0]     masklyr = arcpy.mapping.ListLayers(mxd, 'States_mask', dataframe)[0]     # Set variables for legends/legend images     legendpt = arcpy.mapping.ListLayoutElements(mxd, 'LEGEND_ELEMENT', 'PntLegend')[0]     legendpy = arcpy.mapping.ListLayoutElements(mxd, 'LEGEND_ELEMENT', 'RasLegend')[0]     legendptMar = arcpy.mapping.ListLayoutElements(mxd, 'PICTURE_ELEMENT', 'frz_legend_pt_date_Mar')[0]     legendpyMar = arcpy.mapping.ListLayoutElements(mxd, 'PICTURE_ELEMENT', 'frz_legend_py_date_Mar')[0]     legendptApr = arcpy.mapping.ListLayoutElements(mxd, 'PICTURE_ELEMENT', 'frz_legend_pt_date_Apr')[0]     legendpyApr = arcpy.mapping.ListLayoutElements(mxd, 'PICTURE_ELEMENT', 'frz_legend_py_date_Apr')[0]     legendptMay = arcpy.mapping.ListLayoutElements(mxd, 'PICTURE_ELEMENT', 'frz_legend_pt_date_May')[0]     legendpyMay = arcpy.mapping.ListLayoutElements(mxd, 'PICTURE_ELEMENT', 'frz_legend_py_date_May')[0]     legends = [legendpt, legendpy, legendptMar, legendpyMar, legendptApr, legendpyApr, legendptMay, legendpyMay]         # clear out def queries off the bat     cwaareaslyr.definitionQuery = ''     cwaslyr.definitionQuery = ''     stateslyr.definitionQuery = ''     statesloreslyr.definitionQuery = ''     countieslyr.definitionQuery = ''     countiesloreslyr.definitionQuery = ''     masklyr.definitionQuery = ''     for mapset in mapsets:         print 'mapset = ' + mapset         temp = mapset[-2:]         # figure out layer names for this mapset         if mapset[3:5] <> 'gd':             layernmpt = 'pt' + mapset[2:]             if len(mapset) == 6:                 layernmras = 'sus_ras'             if len(mapset) == 7:                 layernmras = mapset[3:] + '_ras'             if len(mapset) == 9:                 layernmras = 'dtf_ras'             if len(mapset) == 10:                 layernmras = mapset[3:-3] + '_ras'         else:             if mapset[6:8] <> 'mg':                 layernmpt = 'pt_gd' + mapset[6:8] + '_' + temp                 layernmras = 'gdd_ras'             elif mapset[6:8] == 'mg':                 layernmpt = 'pt_mgdd_' + temp                 layernmras = 'mgdd_ras'         if mapset[3:-3] == 'date':             layernmpt = layernmpt + '_' + thismonthabv             layernmras = layernmras + '_' + thismonthabv         # make up layer variables for data layers         try:             ptthislyr = arcpy.mapping.ListLayers(mxd, layernmpt, dataframe)[0]             ptthislyr.definitionQuery = "\"ST\" <> 'ON' AND \"ST\" IS NOT NULL"         except:             layernmpt = 'pt_blank'             ptthislyr = arcpy.mapping.ListLayers(mxd, layernmpt, dataframe)[0]         try:             rasthislyr = arcpy.mapping.ListLayers(mxd, layernmras, dataframe)[0]         except:             layernmras = 'blank_ras'             rasthislyr = arcpy.mapping.ListLayers(mxd, layernmras, dataframe)[0]                 # set data source for this mapset (use if statements if making points maps in addition to poly maps)         if mapset[:2] == 'pt':             ptthislyr.replaceDataSource (FGDB, 'FILEGDB_WORKSPACE', frzpoints_name, False)         if mapset[:2] == 'py':             if mapset[3:5] <> 'gd':                 if len(mapset) == 7:                     datanm = 'l' + mapset[4:]                 else:                     datanm = mapset[3:-3] + mapset[-2:]             else:                 datanm = 'gd' + mapset[6:8] + mapset[-4:]             if mapset[3:5] == 'gd':                 thisras = FGDBgddras + '\\' + datanm                 if arcpy.Exists(thisras):                     rasthislyr.replaceDataSource (FGDBgddras, 'FILEGDB_WORKSPACE', datanm, False)                 else:                     layernmras = 'blank_ras'                     rasthislyr = arcpy.mapping.ListLayers(mxd, layernmras, dataframe)[0]             else:                 thisras = FGDBras + '\\' + datanm                 if arcpy.Exists(thisras):                     rasthislyr.replaceDataSource (FGDBras, 'FILEGDB_WORKSPACE', datanm, False)                 else:                     layernmras = 'blank_ras'                     rasthislyr = arcpy.mapping.ListLayers(mxd, layernmras, dataframe)[0]         # set visibility for data layers and mask layer         for lyr in arcpy.mapping.ListLayers(mxd):             lyr.visible = False         if mapset[:2] == 'pt':             ptthislyr.visible = True             rasthislyr.visible = False             masklyr.visible = False         elif mapset[:2] == 'py':             ptthislyr.visible = True             rasthislyr.visible = True             masklyr.visible = True                     for reg in areas:             area = reg[0]             # area-specific variables             cm = reg[2]             scaleadj = reg[3]             xadj = reg[4]             yadj = reg[5]             # set visibility of basemap layers             if area <> 'US':                 cwaareaslyr.visible = False                 cwaslyr.visible = True                 stateslyr.visible = True                 countieslyr.visible = True                 statesloreslyr.visible = False                 countiesloreslyr.visible = False             else:                 cwaareaslyr.visible = False                 cwaslyr.visible = False                 stateslyr.visible = False                 countieslyr.visible = False                 statesloreslyr.visible = True                 countiesloreslyr.visible = False                 if mapset[:2] == 'py':                     ptthislyr.visible = False                         # def query for cwas in area             defq = ''             for regst in reg[1]:                 defq = defq + " OR \"CWA\" = '" + regst + "'"             defq = defq[4:]             # Adjust spatial reference             spatref = dataframe.spatialReference                                spatrefstring = 'PROJCS["US_National_Atlas_Equal_Area",GEOGCS["GCS_Sphere_Clarke_1866_Authalic",DATUM["D_Sphere_Clarke_1866_Authalic",SPHEROID["Sphere_Clarke_1866_Authalic",6370997.0,0.0]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Azimuthal_Equal_Area"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",' + cm + '],PARAMETER["Latitude_Of_Origin",45.0],UNIT["Meter",1.0],AUTHORITY["EPSG",2163]]'             spatref.loadFromString(spatrefstring)             dataframe.spatialReference = spatref             # Select area's CWAs and zoom to them             cwaslyr.definitionQuery = ''             arcpy.SelectLayerByAttribute_management(cwaslyr, 'NEW_SELECTION', defq)             dataframe.extent = cwaslyr.getSelectedExtent(False)             arcpy.SelectLayerByAttribute_management(cwaslyr, 'CLEAR_SELECTION')             # Zoom and/or pan if needed             newscale = dataframe.scale             newscale = newscale + (newscale * scaleadj)             dataframe.scale = newscale             ext = dataframe.extent             ext.XMin = ext.XMin + xadj             ext.XMax = ext.XMax + xadj             ext.YMin = ext.YMin + yadj             ext.YMax = ext.YMax + yadj             dataframe.panToExtent(ext)             # Set title and other text             if mapset == 'pt_sus':                 titletext1 = 'Freeze Susceptibility' + '\n' + '  *Trial Product*'             elif mapset[3:] == 'lmin':                 titletext1 = 'Lowest Minimum Temperature (' + u'\u00B0F)' + '\n' + 'since 8/1  <FNT size="12">(' + u'10\u00B0F to 50\u00B0F' + ')</FNT>'             elif mapset[3:] == 'mmin':                 titletext1 = 'Lowest Minimum Temp (' + u'\u00B0F)' + '\n' + 'since 8/1  <FNT size="12">(' + u'-38\u00B0F to 10\u00B0F' + ')</FNT>'             elif mapset[3:-3] == 'dtf':                 titletext1 = 'Date of First ' + temp + u'\u00B0F Freeze' + '\n' + 'since 8/1'             elif mapset[3:-3] == 'date':                 titletext1 = 'Date of Most Recent ' + temp + u'\u00B0F Freeze' + '\n' + 'since 8/1'             elif mapset[3:-3] == 'days':                 titletext1 = 'Days since Most Recent ' + temp + u'\u00B0F Freeze' + '\n' + 'since 8/1'             elif mapset[3:-3] == 'dblw':                 titletext1 = 'Number of Days with Minimum Temperature <= ' + temp + u'\u00B0F' + '\n' + 'During the Past 14 Days'             elif mapset[6:8] == 'mg' and mapset[9:11] <> 'lt':                 titletext1 = 'Accumulated Modified Growing Degree Days' + '\n' + 'Since ' + str(int(mapset[-4:-2])) + '/' + str(int(mapset[-2:]))             elif mapset[6:8] == 'mg' and mapset[9:11] == 'lt':                 titletext1 = 'Accumulated Modified Growing Degree Days' + '\n' + 'Since Most Recent ' + temp + u'\u00B0F Freeze'             elif mapset[3:5] == 'gd' and mapset[9:11] <> 'lt':                 titletext1 = 'Accumulated Growing Degree Days <FNT size="12">(base ' + mapset[6:8] + u'\u00B0F)</FNT>' + '\n' + 'Since ' + str(int(mapset[-4:-2])) + '/' + str(int(mapset[-2:]))             elif mapset[3:5] == 'gd' and mapset[9:11] == 'lt':                 titletext1 = 'Accumulated Growing Degree Days <FNT size="12">(base ' + mapset[6:8] + u'\u00B0F)</FNT>' + '\n' + 'Since Most Recent ' + temp + u'\u00B0F Freeze'             elm = arcpy.mapping.ListLayoutElements(mxd, 'TEXT_ELEMENT', 'Title1')[0]             elm.text = titletext1             elm = arcpy.mapping.ListLayoutElements(mxd, 'TEXT_ELEMENT', 'Title2')[0]             elm.text = 'As of ' + titledate             # Move around legends if needed             for legend in legends:                 legend.elementPositionY = 7.49             if mapset[3:-3] == 'date' and (thismonthabv == 'Mar' or thismonthabv == 'Apr' or thismonthabv == 'May'):                 if mapset[:2] == 'pt' and thismonthabv == 'Mar':                     legends[2].elementPositionY = 6.49                 elif mapset[:2] == 'py' and thismonthabv == 'Mar':                     legends[3].elementPositionY = 6.49                 elif mapset[:2] == 'pt' and thismonthabv == 'Apr':                     legends[4].elementPositionY = 6.49                 elif mapset[:2] == 'py' and thismonthabv == 'Apr':                     legends[5].elementPositionY = 6.49                 elif mapset[:2] == 'pt' and thismonthabv == 'May':                     legends[6].elementPositionY = 6.49                 elif mapset[:2] == 'py' and thismonthabv == 'May':                     legends[7].elementPositionY = 6.49             else:                 if mapset[:2] == 'pt':                     legends[0].elementPositionY = 6.49                 elif mapset[:2] == 'py':                     legends[1].elementPositionY = 6.49             # Use ArcPy to make PNG             arcpy.RefreshActiveView()             if mapset[-3:] == 'sus':                 pngname = area + '_freeze_' + mapset[:2] + '_' + mapset[-3:] + '_' + datadate             elif mapset[-4:] == 'lmin' or mapset[-4:] == 'mmin':                 pngname = area + '_freeze_' + mapset[:2] + '_' + mapset[-4:] + '_' + datadate             elif mapset[3:5] <> 'gd':                 pngname = area + '_freeze_' + mapset[:2] + '_' + mapset[3:-3] + '_' + temp + '_' + datadate             else:                 if mapset[9:11] == 'lt':                     if mapset[6:8] <> 'mg':                         pngname = area + '_freeze_' + mapset[:2] + '_' + mapset[3:5] + mapset[6:8] + '_' + temp + '_' + datadate                     else:                         pngname = area + '_freeze_' + mapset[:2] + '_' + mapset[6:8] + 'dd_' + temp + '_' + datadate                 else:                     if mapset[6:8] <> 'mg':                         pngname = area + '_freeze_' + mapset[:2] + '_' + mapset[3:5] + mapset[6:8] + '_' + mapset[-4:] + '_' + datadate                     else:                         pngname = area + '_freeze_' + mapset[:2] + '_' + mapset[6:8] + 'dd_' + mapset[-4:] + '_' + datadate             # Export and Copy maps             out_png = mapsfolder + '\\' + pngname + '.png'             print out_png             arcpy.mapping.ExportToPNG (mxd, out_png, '', 0, 0, dpi)             print pngname + ' exported'             try:                 # Copy PNG to (M:)                 pngcopy = 'M:\\' + pngname[:-9] + '.png'                 shutil.copyfile (out_png, pngcopy)             except:                 print '...FAILED to copy ' + pngname + ' to (M:)'             try:                 # Copy PNG to (W:)                 pngcopy = 'W:\\ROOT\\VIP\\frz_maps\\images\\' + pngname[:-9] + '.png'                 shutil.copyfile (out_png, pngcopy)             except:                 print '...FAILED to copy ' + pngname + ' to (W:)'                 except:     print '...Map exports not complete', arcpy.GetMessages() # Save and close MXD mxd.save()    del mxd ... 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I have noticed during my tests that the script will get significantly farther if I omit certain data sets from the list of maps to be exported.  Python still eventually crashes, but some times I can get almost 500 maps (which is better than just 30 maps). Maybe I should just split this one big script into two separate scripts... ... View more

Well, I have garbage collector (gc) enabled, and if I ever use cursors I habitually del them when I'm done with them.  But, I have the data creation section of the script commented out for my current test runs, so there isn't any geoprocessing going on before the export section runs right now.  The only thing I have printing to the interactive window right now is when it starts - and is done with - each map PNG. Are there other things I can do do free up memory while exporting? ... View more