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Soooo 我一直在编写从 ArcGIS Blueprints 中获取的脚本：

http://file.allitebooks.com/20151230/ArcGIS%20Blueprints.pdf

它应该将地理定位的推文转换为地理数据库。我的 Twitter Streaming API 已经可以运行了，并且一直在使用不同的方法来提取 x/y，但是每隔一段时间就会不断地回到这个脚本，希望我可以让它运行但没有运气。我陷入“列表索引超出范围”错误。如果有人足够亲切地提供一些关于如何解决这个错误的想法，我将永远感激不尽。如果没有别的，这项努力利用了我在 Python 和 Arcpy 方面的缺点，希望从长远来看它能让我变得更好。现在，我肯定想从这个脚本和我投入的工作中获得一些成果。谢谢！

from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream

import arcpy
import sys
import time

consumer_key = 'xxx'
consumer_secret = 'xxx'
token_key = 'xxx'
token_secret = 'xxx'



class StdOutListener(StreamListener):
    def __init__(self, start_time, featureClass, time_limit):
        super(StdOutListener, self).__init__()
        self.time = start_time
        self.limit = time_limit
        self.featureClass = featureClass

    def on_status(self, status):
        while (time.time() - self.time) < self.limit:
            if status.geo is not None:
                dictCoords = status.geo
                listCoords = dictCoords['coordinates']
                latitude = listCoords[0]
                longitude = listCoords[1]

                cursor =arcpy.da.InsertCursor(self.featureClass,"SHAPE@XY"))
                cursor.insertRow([(longitude,latitude)])

                print(str(listCoords[0]) + "," + str(listCoords[1]))    
                return True
            else:
                print "No coordinates found"
                return True

start_time = time.time()
arcpy.env.workspace = "c:\ArcGIS_Blueprint_Python\data\Twitter\TweetInformation.gdb"           "       



def main():
    try:    #new
        featureClass = sys.argv[1]
        monitorTime = sys.argv[2]
        monitorTime = monitorTime * 3600

        sr = arcpy.SpatialReference(4326)
        arcpy.env.overwriteOutput = True
        arcpy.CreateFeatureclass_management(arcpy.env.workspace,
    featureClass, "POINT", spatial_reference=sr)

        auth = OAuthHandler(consumer_key, consumer_secret)
        auth.set_access_token(token_key, token_secret)

        stream = Stream(auth, StdOutListener(start_time, featureClass,
    time_limit=monitorTime))    #172800 
        stream.filter(track=['car'])


    except Exception as e:
        print(e.message)

if __name__ == '__main__':
    main()
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