arcpy

First timer on StackExchange. I am working with ArcGIS Server and Python. While trying to execute a query using the REST endpoint to a map service, I am getting the values for a field that is esriFieldTypeDate in negative epoch in the JSON response. The JSON response looks like this: { "feature" : { "attributes" : { "OBJECTID" : 11, "BASIN" : "North Atlantic", "TRACK_DATE" : -3739996800000, } , "geometry" : { "paths" : [ [ [-99.9999999999999, 30.0000000000001], [-100.1, 30.5000000000001] ] ] } } } The field I am referring to is "TRACK_DATE" in the above JSON. The values returned by ArcGIS

I have an external executable file which i am trying to run from a Python script. CMD executable runs but without generating output. Probably it exit before output can be generated. Any suggestion about how to delay exit until outputs are generated? import subprocess, sys from subprocess import Popen, PIPE exe_str = r"C:/Windows/System32/cmd C:/temp/calc.exe" parent = subprocess.Popen(exe_str, stderr=subprocess.PIPE) use subprocess.call , more info here : import subprocess subprocess.call(["C:\\temp\\calc.exe"]) or import os os.system('"C:/Windows/System32/notepad.exe"') i hope it helps you...

I have an Excel file with one worksheet that has sediment collection data. I am running a long Python script. In the worksheet is a column titled “CollectionYear.” Say I want the year 2010. If the year 2010 exists in the “CollectionYear” column, I want the rest of the script to run, if not then I want the script to stop. This seems like an easy enough task but for the life of me I cannot figure it out nor find any examples. Any help would be greatly appreciated. I use xlrd all the time and it works great for me. Something like this might be helpful from xlrd import open_workbook def main():

I have a dictionary that I need to convert to a NumPy structured array. I'm using the arcpy function NumPyArraytoTable , so a NumPy structured array is the only data format that will work. Based on this thread: Writing to numpy array from dictionary and this thread: How to convert Python dictionary object to numpy array I've tried this: result = {0: 1.1181753789488595, 1: 0.5566080288678394, 2: 0.4718269778030734, 3: 0.48716683119447185, 4: 1.0, 5: 0.1395076201641266, 6: 0.20941558441558442} names = ['id','data'] formats = ['f8','f8'] dtype = dict(names = names, formats=formats) array=numpy