store starbucks data into csv file

store_starbucks_data_to_csv.py

#define columns of csv
dfSbux = pd.DataFrame(columns=['id', 'strLocation', 'latitude', 'longitude', 'city', 'state', 'zip'])

#store data
for i,col in enumerate(dfSbux.columns):
    dfSbux[col] = [item[i] for item in keepLAStores]

#cast the latitude and longitude as floats
dfSbux.latitude = dfSbux.latitude.apply(lambda x: float(x))
dfSbux.longitude = dfSbux.longitude.apply(lambda x: float(x))

#save to csv
dfSbux.to_csv('starbucksInLACounty.csv', index=False)