Package: radargeocoder
Radar GeocoderPython function for geocoding addresses using the Radar APIThis code demonstrates how to use the RadarClient class from the radar module to forward (reverse and ip to be added later on) geocode a list of addresses using the Radar API , extract all the values, and store them in a dataframe.PrerequisitesYou should have a Radar API secret key. If you don't have one, sign up on Radar's website.https://radar.com/Install thepandasandradarmodules in your Python environment.pip install pandas
pip install radar-pythonFunction (Combined Code Below)Import thepandaslibrary using its aliaspd.import pandas as pdImport theRadarClientclass from theradarmodule.from radar import RadarClientDefine a function calledf_geocode_address_listthat takes a list of addresses and the radar secret key as an arguments.def f_geocode_address_list(address_list, SECRET_KEY):Create aRadarClientinstance namedradarwith the secret key stored in theSECRET_KEYvariable.radar = RadarClient(SECRET_KEY)Initialize an empty list calledgeocoded_datato store the geocoded address data.geocoded_data = []Loop through eachaddressin the inputaddress_listusing aforloop.for address in address_list:Query the Radar geocoding API for the latitude, longitude, and other relevant data of the current address using the forward method of theradar.geocodeobject. Store the result in thelocationvariable.location = radar.geocode.forward(query=address)[0]Create a dictionary object calleddatathat stores the relevant fields of thelocationinformation.data = {
            "addressLabel": location.addressLabel,
            "city": location.city,
            "confidence": location.confidence,
            "country": location.country,
            "countryCode": location.countryCode,
            "countryFlag": location.countryFlag,
            "county": location.county,
            "distance": location.distance,
            "formattedAddress": location.formattedAddress,
            "geometryType": location.geometry['type'],
            "layer": location.layer,
            "latitude": location.latitude,
            "longitude": location.longitude,
            "number": location.number,
            "postalCode": location.postalCode,
            "state": location.state,
            "stateCode": location.stateCode,
            "street": location.street
        }Append thedatadictionary to thegeocoded_datalist.geocoded_data.append(data)Create a pandas DataFrame calledgeocoded_dffrom thegeocoded_datalist using thepd.DataFrame()method.geocoded_df = pd.DataFrame(geocoded_data)Return the DataFrame.return geocoded_dfCombined CodeCode forf_geocode_address_listfunction.def geocode_address_list(address_list, SECRET_KEY):
    radar = RadarClient(SECRET_KEY)
    geocoded_data = []
    for address in address_list:
        location = radar.geocode.forward(query=address)[0]
        data = {
            "addressLabel": location.addressLabel,
            "city": location.city,
            "confidence": location.confidence,
            "country": location.country,
            "countryCode": location.countryCode,
            "countryFlag": location.countryFlag,
            "county": location.county,
            "distance": location.distance,
            "formattedAddress": location.formattedAddress,
            "geometryType": location.geometry['type'],
            "layer": location.layer,
            "latitude": location.latitude,
            "longitude": location.longitude,
            "number": location.number,
            "postalCode": location.postalCode,
            "state": location.state,
            "stateCode": location.stateCode,
            "street": location.street
        }
        geocoded_data.append(data)
    geocoded_df = pd.DataFrame(geocoded_data)
    return geocoded_dfInstalling theRadarGeocoderPackageInstall the package usingpip.pip install radargeocoderCalling The Function (Combined Code Below)Set aSECRET_KEYvariable to a string containing the secret key needed to access the Radar API.SECRET_KEY = "Your_Key_Here"Define a list ofaddressescalledaddress_list.address_list = ["5 Verti Drive, Waterville, Maine, 04901", "123 Main St, Anytown, California, 12345"]Call thef_geocode_address_listfunction with theaddress_listandSECRET_KEYvariable as arguments and store the returned DataFrame in a variable calledgeocoded_df.geocoded_df = f_geocode_address_list(address_list, SECRET_KEY)Display the DataFrame using thegeocoded_dfvariable.geocoded_dfCombined CodeCombined code for calling thef_geocode_address_listfunction.SECRET_KEY = "Your_Key_Here"

address_list = ["5 Verti Drive, Waterville, Maine, 04901", "123 Main St, Anytown, California, 12345"]

geocoded_df = f_geocode_address_list(address_list, SECRET_KEY)

geocoded_dfExample Output.addressLabel	city	confidence	country	countryCode	countryFlag	county	distance	formattedAddress	geometryType	layer	latitude	longitude	number	postalCode	state	stateCode	street
0	5 Verti Drive	Waterville	exact	United States	US	ðŸ‡ºðŸ‡¸	Kennebec County	0	5 Verti Drive, Waterville, ME 04901 USA	Point	address	44.513791	-69.660212	5	04901	Maine	ME	Verti Drive
1	123 Main St	San Diego	exact	United States	US	ðŸ‡ºðŸ‡¸	San Diego County	0	123 Main St, San Diego, CA 12345 USA	Point	address	32.552745	-117.043844	123	12345	California	CA	Main StLicenseThis code is licensed under the MIT License.