X-Git-Url: https://projects.mako.cc/source/twitter-api-cdsw-solutions/blobdiff_plain/1e2d406ccc7bfaa9c73ab809367ce5ae2ab6fc79..d4653b5f599083dc7631ff1a215096ac58b626d8:/solution-geo-3.py

diff --git a/solution-geo-3.py b/solution-geo-3.py
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+# Set up a bounding box around Times Square and around NYC as a whole.
+
+# Alter the streaming code to include a "locations" filter. You need
+# to use the order sw_lng, sw_lat, ne_lng, ne_lat for the four
+# coordinates.
+
+# Note: to answer this, I used this website to find a good box:
+# http://boundingbox.klokantech.com/
+
+import encoding_fix
+import tweepy
+from twitter_authentication import CONSUMER_KEY, CONSUMER_SECRET, ACCESS_TOKEN, ACCESS_TOKEN_SECRET
+
+auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
+auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)
+
+api = tweepy.API(auth)
+
+class StreamListener(tweepy.StreamListener):
+    def on_status(self, tweet):
+        print(tweet.author.screen_name + "\t" + tweet.text)
+
+    def on_error(self, status_code):
+        print('Error: ' + repr(status_code))
+        return False
+
+l = StreamListener()
+streamer = tweepy.Stream(auth=auth, listener=l)
+
+# This should grab tweets in Times Square /and/ NYC as a whole
+streamer.filter(locations=[-73.9864799803,40.7575460197,-73.9837820197,40.7602439803,
+                          -74.25909,40.477399,-73.700171,40.917577])
+