I have a script which writes the lat/lng of a json web service of bus routes. The script writes the latitude and longitude to a CSV correctly. However my table to table conversion does not work correctly in Python.
# IMPORTS #Make Python understand how to read things on the Internet import urllib2 #Make Python understand the stuff in a page on the Internet is JSON import json from decimal import Decimal # Make Python understand csvs import csv # Make Python know how to take a break so we don't hammer API and exceed rate limit from time import sleep # tell computer where to put CSV outfile_path='C:\Users\Administrator\PycharmProjects\untitled\json2fgdb.csv' # open it up, the w means we will write to it writer = csv.writer(open(outfile_path, 'wb')) #create a list with headings for our columns headers = ['latitude', 'longitude'] #write the row of headings to our CSV file writer.writerow(headers) # GET JSON AND PARSE IT INTO DICTIONARY # We need a loop because we have to do this for every JSON file we grab #set a counter telling us how many times we've gone through the loop, this is the first time, so we'll set it at 1 i=1 #loop through pages of JSON returned, 100 is an arbitrary number while i<2: #print out what number loop we are on, which will make it easier to track down problems when they appear print i #create the URL of the JSON file we want. We search for 'egypt', want English tweets, #and set the number of tweets per JSON file to the max of 100, so we have to do as little looping as possible url = urllib2.Request('http://api.metro.net/agencies/lametro/routes/704/vehicles/' + str(i)) #use the JSON library to turn this file into a Pythonic data structure parsed_json = json.load(urllib2.urlopen('http://api.metro.net/agencies/lametro/routes/704/vehicles/')) #now you have a giant dictionary. #Type in parsed_json here to get a better look at this. #You'll see the bulk of the content is contained inside the value that goes with the key, or label "results". #Refer to results as an index. Just like list refers to the second item in a list, #dict['results'] refers to values associated with the key 'results'. print parsed_json #run through each item in results, and jump to an item in that dictionary, ex: the text of the tweet for items in parsed_json['items']: #initialize the row row =  #add every 'cell' to the row list, identifying the item just like an index in a list row.append(str(items['longitude']).encode('utf-8')) row.append(str(items['latitude']).encode('utf-8')) #once you have all the cells in there, write the row to your csv writer.writerow(row) #increment our loop counter, now we're on the next time through the loop i = i +1 #tell Python to rest for 5 secs, so we don't exceed our rate limit #sleep(5) import arcpy arcpy.TableToTable_conversion(outfile_path, "C:\dev_folder\orginalDev.gdb", "jsoncsv2" )
This is my table output when running in Python.
This is the output, when using ArcToolBox in ArcCatalog.