问题描述
def getNearbyVenues(names,latitudes,longitudes,radius=500):
venues_list=[]
for name,lat,lng in zip(names,longitudes):
print(name)
# create the API request URL
url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(
CLIENT_ID,CLIENT_SECRET,VERSION,lng,radius,LIMIT)
# make the GET request
results = requests.get(url).json()["response"]['groups'][0]['items']
# return only relevant information for each nearby venue
venues_list.append([(
name,v['venue']['name'],v['venue']['location']['lat'],v['venue']['location']['lng'],v['venue']['categories'][0]['name']) for v in results])
nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])
nearby_venues.columns = ['Neighborhood','Neighborhood Latitude','Neighborhood Longitude','Venue','Venue Latitude','Venue Longitude','Venue Category']
return(nearby_venues)
错误是:
错误:HTTPSConnectionPool(host ='api.foursquare.com',端口= 443):URL超出了最大重试次数:/ v2 / venues / explore?&client_id = ############## ######&client_secret = #########&v = 20180604&ll = 43.677030000000066,-79.29541999999998&radius = 500&limit = 30(由NewConnectionError('
导致:无法建立一个新的连接:[Errno 65]没有路由到主机')
解决方法
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