Python - Place object in Tweepy - GeeksforGeeks

03 Jul, 2020
Twitter is a popular social network where users share messages called tweets. Twitter allows us to mine the data of any user using Twitter API or Tweepy. The data will be tweets extracted from the user. The first thing to do is get the consumer key, consumer secret, access key and access secret from twitter developer available easily for each user. These keys will help the API for authentication.
The Place object in Tweepy module contains the information about a place.
Here are the list of attributes in the Place object :
id : The ID of the place.
url : The URL representing the location of the place.
place_type : The type of location represented by the place.
name : The name of the place.
full_name : The full name of the place.
country_code : The code of the country of the place.
country : The name of the country of the place.
contained_within : A Place object containing the place.
geometry : The geometry of the place.
polylines : The polylines of the place.
centroid : The centroid of the place.
bounding_box : The coordinates which encloses the place.
Example : Use geo_id() method to fetch the place. Consider the city of London.
# import the moduleimport tweepy  # assign the values accordinglyconsumer_key = ""consumer_secret = ""access_token = ""access_token_secret = ""  # authorization of consumer key and consumer secretauth = tweepy.OAuthHandler(consumer_key, consumer_secret)  # set access to user's access key and access secret auth.set_access_token(access_token, access_token_secret)  # calling the api api = tweepy.API(auth)  # Twitter ID of London id = "457b4814b4240d87"    # fetching the location place = api.geo_id(id)     # printing the information print("The id is : " + place.id)print("The url is : " + place.url)print("The place_type is : " + place.place_type)print("The name is : " + place.name)print("The full_name is : " + place.full_name)print("The country_code is : " + place.country_code)print("The country is : " + place.country)print("The contained_within is : " + str(place.contained_within))print("The geometry is : " + str(place.geometry))print("The polylines are : " + str(place.polylines))print("The centroid is : " + str(place.centroid))print("The bounding_box is : " + str(place.bounding_box))
Output :
The id is : 457b4814b4240d87The url is : https://api.twitter.com/1.1/geo/id/457b4814b4240d87.jsonThe place_type is : cityThe name is : LondonThe full_name is : London, EnglandThe country_code is : GBThe country is : United KingdomThe contained_within is : [Place(_api=, id=’1090d3ced4b75d04′, url=’https://api.twitter.com/1.1/geo/id/1090d3ced4b75d04.json’, place_type=’admin’, name=’London’, full_name=’London’, country_code=’GB’, country=’United Kingdom’, centroid=[0.07110233274688144, 51.5989395], bounding_box=BoundingBox(_api=, type=’Polygon’, coordinates=[[[-0.853907, 51.105205], [-0.853907, 52.092674], [0.958128, 52.092674], [0.958128, 51.105205], [-0.853907, 51.105205]]]), attributes={})]The geometry is : NoneThe polylines are : []The centroid is : [-0.14032122753075282, 51.50009175]The bounding_box is : BoundingBox(_api=, type=’Polygon’, coordinates=[[[-0.187894, 51.483718], [-0.187894, 51.5164655], [-0.109978, 51.5164655], [-0.109978, 51.483718], [-0.187894, 51.483718]]])
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