Latest Contributions by JohannesLindner

Right, this was another question where Josh's very helpful blog post can help (for performance, not for your new problem).   To return a Featureset, you first have to define it (what fields and geometry type does it have?), and then you have to fill it. Something like this should do the trick (Note the use of Memorize() for all loaded Featuresets, this should hopefully help with performance a lot.):   // function to load a Featureset into RAM function Memorize(fs) { var temp_dict = { fields: Schema(fs)['fields'], geometryType: Schema(fs).geometryType, features: [] } for (var f in fs) { var attrs = {} for (var attr in f) { attrs[attr] = Iif(TypeOf(f[attr]) == 'Date', Number(f[attr]), f[attr]) } Push( temp_dict['features'], {attributes: attrs, geometry: Geometry(f)} ) } return FeatureSet(Text(temp_dict)) } // load your Featuresets var portals = ... var mRamp = Memorize(FeaturesetByPortalItem(...)) var sql = "PassFail = 'Fail'" var FailRamps = Filter(mRamp, sql) var PriorityFeaturesets = [ Memorize(FeaturesetByPortalItem(...)), // ... ] var zoningLayer = Memorize(FeaturesetByPortalItem(...)) // define the output featureset var out_fs = { geometryType: "", fields: [ {name: "GID", type: "esriFieldTypeString"}, ], features: [] } // fill the featureset with all ramps that are near priority features or wihtin the zoning layer for(var ramp in FailRamps) { var zone = First(Intersects(zoningLayer, ramp)) if(zone != null) { Push(out_fs.features, {attributes: {GID: ramp.GlobalID}}) continue } var rampBuffer = Buffer(ramp, 0.125, "miles") for(var i in priorityFeaturesets) { var priorityFeature = First(Intersects(priorityFeatures[i], ramp_buffer)) if(priorityFeature != null) { Push(out_fs.features, {attributes: {GID: ramp.GlobalID}}) break } } } // return the output Featureset return Featureset(Text(out_fs))     The way I wrote it, it should not count ramps that are near to multiple priority features multiple times. To be sure, you could just throw a Distinct() around the returned fs: return Distinct(Featureset(Text(out_fs)), ["GID"]) ... View more

ListFeatureclasses() returns a list of fc names, but Rename expects complete paths. You have to construct the path from the workspace and the fc name. import arcpy, os all_fc_names = arcpy.ListTables() + arcpy.ListFeatureClasses() for ds in arcpy.ListDatasets(): all_fc_names += arcpy.ListFeatureClasses(feature_dataset=ds) for name in all_fc_names: fc_path = os.path.join(arcpy.env.workspace, name) new_name = name.replace("_FG_GML", "").replace("_0001", "") try: arcpy.management.Rename(old_path, new_name) except Exception as e: print("Could not rename " + name + ": " + str(e))   ... View more

Ah, I didn't realize that Josh ignored the geometries... Try this: function Memorize(fs) { var temp_dict = { fields: Schema(fs)['fields'], geometryType: Schema(fs).geometryType, features: [] } for (var f in fs) { var attrs = {} for (var attr in f) { attrs[attr] = Iif(TypeOf(f[attr]) == 'Date', Number(f[attr]), f[attr]) } Push( temp_dict['features'], {attributes: attrs, geometry: Geometry(f)} ) } return FeatureSet(Text(temp_dict)) } // ... // change the false to true var watersheds = Memorize(FeatureSetByPortalItem(p, '4a7abb05f6eb42d78e31587b05e3ebec', 0, ['Label_Field'], true)) ... View more

Ah. For that, you need two widgets:   The Table Widget: Use your raw layer as input Set table type to "Grouped Values", group by sample type, define a count field     The Category Selector Widget: can only be added to a Top/Sidebar Widget, so add that first set to "Grouped Values", use the same layer you used for the Table widget group by site add an action to filter the Table widget       ... View more