vanessaaleung

print('There are {} uniques categories.'.format(len(sf_venues['Venue Category'].unique())))

vanessaaleung

sf_venues.groupby('Neighborhood').count()

vanessaaleung

sf_venues = getNearbyVenues(names = sf_data['Neighborhood'],
                                   latitudes = sf_data['Latitude'],
                                   longitudes = sf_data['Longitude']
                                  )
                                  
sf_venues.head()

vanessaaleung

def getNearbyVenues(names, latitudes, longitudes, radius=500):
    venues_list=[]
    for name, lat, lng in zip(names, latitudes, longitudes):
        # 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, 
            lat, 
            lng, 

vanessaaleung

radius = 500
LIMIT = 100
url = 'https://api.foursquare.com/v2/venues/explore?client_id={}&client_secret={}&ll={},{}&v={}&radius={}&limit={}'.format(CLIENT_ID, CLIENT_SECRET, neighborhood_latitude, neighborhood_longitude, VERSION, radius, LIMIT)

results = requests.get(url).json()

vanessaaleung

neighborhood_latitude = sf_data.loc[3, 'Latitude'] # neighborhood latitude value
neighborhood_longitude = sf_data.loc[3, 'Longitude'] # neighborhood longitude value

neighborhood_name = sf_data.loc[3, 'Neighborhood'] # neighborhood name

print('Latitude and longitude values of {} are {}, {}.'.format(neighborhood_name, 
                                                               neighborhood_latitude, 
                                                               neighborhood_longitude))

vanessaaleung

CLIENT_ID = 'YOUR_CLIENT_ID' # your Foursquare ID
CLIENT_SECRET = 'YOUR_CLIENT_SECRET' # your Foursquare Secret
VERSION = '20180605' # Foursquare API version
LIMIT = 100

print('Your credentails:')
print('CLIENT_ID: ' + CLIENT_ID)
print('CLIENT_SECRET:' + CLIENT_SECRET)

vanessaaleung

map_sf = folium.Map(location = [latitude, longitude], zoom_start=10)

# add markers to map
for lat, lng, neighborhood in zip(sf_data['Latitude'], sf_data['Longitude'], sf_data['Neighborhood']):
    label = '{}'.format(neighborhood)
    label = folium.Popup(label, parse_html = True)
    folium.CircleMarker(
        [lat, lng],
        radius = 5,
        popup = label,

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address = 'San Francisco'

geolocator = Nominatim(user_agent = "san_francisco_explorer")
location = geolocator.geocode(address)
latitude = location.latitude
longitude = location.longitude
print('The geograpical coordinates of San Francisco are {}, {}.'.format(latitude, longitude))

vanessaaleung

!pip install uszipcode
from uszipcode import SearchEngine

search = SearchEngine(simple_zipcode=True)

latitude = []
longitude = []

for index, row in df1.iterrows():
    zipcode = search.by_zipcode(row["Zip Code"]).to_dict()