Latest Contributions by JamesCrandall

No, I just want to allow user to "SaveAs" in IE or download into downloads directory (Chrome).  However, I don't believe download attribute is supported in IE. https://stackoverflow.com/questions/46817974/download-file-from-server-response-with-url-as-json-file In any case, it still just opened a new tab and displayed the content of the .json file that was in the response instead of downloading it. ... View more

arcpy.mapping.ListLayoutElements should get you access to the title I'd think. http://desktop.arcgis.com/en/arcmap/10.3/analyze/arcpy-mapping/listlayoutelements.htm ... View more

From my example I posted, we noticed that some clients would not download the .json file in IE and a new browser tab would open and simply display the contents of the file.  The solution is to .zip the file and return that to the client.  Also, window.open() can be affected by popup blocking: executeGPDownloadSessions: function (param) {                 var gp = new Geoprocessor("https://mydomain/myAGSsite/rest/services/GP/myGPServiceName/GPServer/myGPServiceTaskName");               var params = { "inputSession": param }; gp.execute(params, downloadFile);                 function downloadFile(results, messages) {                     //do something with the results                                        var theSessionFile = results[0].value;                     window.open(results[0].value.url);                                   }             },‍‍‍‍‍‍‍‍‍‍‍‍ Instead of window.open(), add an <a href> within a <div> and then replace the href link in the JavaScript with the url that is returned from the service in the response: //working function using <a href> as means to open download interface instead of window.open() //this is because popup blocker may affect window.open() function on some clients function downloadFile(results, messages) {     //do something with the results                        //var theSessionFile = results[0].value;     //set a var of the complete url address that is returned from the GP service request     var urlOfFile = results[0].value.url;     //get the div from the html of the widget     link = document.getElementById('downloadSession');     link.setAttribute('href', urlOfFile);     link.appendChild(document.createTextNode("Save file"));     document.body.appendChild(link);     link.click(); } },‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ ... View more

formatteddatetime = yourdatevalue.strftime("%Y/%m/%d")‍ ... View more

Make sure 'SHAPE@' is being included in your scFields list. ... View more

Is this an SDE feature class?  If so, have you tried a standard SQL count statement against the RBMS? ... View more

Aren't you already doing that?  I see you are setting up arcpy.da.SearchCursor(). ... View more

if int(arcpy.GetCount_management(TheInputFeatureClass).getOutput(0))<> len(set(arcpy.da.SearchCursor(TheInputFeatureClass, 'TheFieldToEvaluate'))):     print 'length did not match'‍‍ ... View more

Yep.  Great point considering the OP needs this to perform during an onLoad event. ... View more

Considering Dan's valid point about numpy setup time, what about simply setting a "set" to the SearchCursor? print len(set(arcpy.da.SearchCursor(TheInputFeatureClass, 'TheFieldToEvaluate')))‍ ... View more

import numpy as np nparr = arcpy.da.FeatureClassToNumPyArray(TheInputFeatureClass, ['TheFieldToEvaluate']) uniqueValueCount = len(np.unique(nparr)) print uniqueValueCount‍‍‍‍‍ ... View more

As an alternative to the field calculator, this is a mix of libraries and ultimately simply uses a dictionary and arcpy.da.UpdateCursor to calculate the field with the repeating values.  (really, I had been looking for a reason to dive into using a dictionary to update with an UpdateCursor and this was a good exercise to nail that down). import arcpy import pandas import numpy as np import sys #set the repeating values to use repeat_arr = [1, 2, 3] #the feature class to be updated, the field to calculat and a join field fc = r'H:\DescribeFGDB\Readme.gdb\RptLyr' updateField = 'calcIt' idField = 'OBJECTID' #convert the feature class to an array with OID values nparr = arcpy.da.FeatureClassToNumPyArray(fc, ['OID@']) #get array as pandas dataframe and populate the repeating values column df = pandas.DataFrame(nparr) df = df.join(pandas.DataFrame(repeat_arr * (len(df)/len(repeat_arr)+1), columns=['calcIt'])) #convert back to a numpyarry x = np.array(np.rec.fromrecords(df.values)) names = df.dtypes.index.tolist() x.dtype.names = tuple(names) #convert to an in_memory table, set join field and the field to use to calculate with arcpy.da.NumPyArrayToTable(x, r'in_memory\finalarr') joinTab = r'in_memory\finalarr' joinIdField = 'OBJECTID' joinValueField = 'calcIt' #create dictionary from the in_memory table valueDic = dict ([(key, val) for key, val in arcpy.da.SearchCursor(joinTab, [joinIdField,joinValueField])]) #update the source feature class with the dictionary values, joining on the joinfields with arcpy.da.UpdateCursor(fc, [updateField, idField]) as cursor:     for update, key in cursor:         if not key in valueDic:             continue         row = (valueDic [key], key)         cursor.updateRow(row) del cursor‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ ... View more

import arcpy import pandas repeat_vals = [1, 2, 3] df = pandas.DataFrame(range(100), columns=['col1']) df = df.join(pandas.DataFrame(repeat_vals * (len(df)/len(repeat_vals)+1), columns=['col2'])) print df.values‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ ... View more