04_Neighborhood_GeoPy.py

# define the data frame columns
column_names = ['Neighbourhood', 'Latitude', 'Longitude'] 

# instantiate the data frame
nhoods = pd.DataFrame(columns=column_names)

geolocator = Nominatim(user_agent="la_explorer",timeout=5)
for i in range(0,len(df)):
    
    address = df.Neighbourhood[i]+', Los Angeles'
    location = geolocator.geocode(address)
    if location == None:
        latitude = 0
        longitude = 0
    else:
        latitude = location.latitude
        longitude = location.longitude

    nhoods = nhoods.append({'Neighbourhood': df.Neighbourhood[i],
                                              'Latitude': latitude,
                                              'Longitude': longitude}, ignore_index=True)
    
    
    
    
nhoods['Latitude']=nhoods['Latitude'].astype(float)
nhoods['Longitude']=nhoods['Longitude'].astype(float)

nhoods=nhoods[(nhoods.Latitude>33.5) & (nhoods.Latitude<34.4) & (nhoods.Longitude<-118)] 
nhoods.reset_index(inplace=True,drop=True)