a û1$eã@s`ddlmZddlZddlZddlmZddlZdd„Zddd„Z ddd „Z d d „Z d d „Z dS)é)Ú defaultdictN)ÚPointcCs ddl}||jjkrdSdSdS)z‹ Amount of time to wait between requests to a geocoding API, for providers that specify rate limits in their terms of service. rNé)Úgeopy.geocodersZ geocodersZ Nominatim)ÚproviderZgeopy©rúU/var/www/html/django/DPS/env/lib/python3.9/site-packages/geopandas/tools/geocoding.pyÚ_get_throttle_time s r cKs*|dur d}t|ƒ}t|d||fi|¤ŽS)ab Geocode a set of strings and get a GeoDataFrame of the resulting points. Parameters ---------- strings : list or Series of addresses to geocode provider : str or geopy.geocoder Specifies geocoding service to use. If none is provided, will use 'photon' (see the Photon's terms of service at: https://photon.komoot.io). Either the string name used by geopy (as specified in geopy.geocoders.SERVICE_TO_GEOCODER) or a geopy Geocoder instance (e.g., geopy.geocoders.Photon) may be used. Some providers require additional arguments such as access keys See each geocoder's specific parameters in geopy.geocoders Notes ----- Ensure proper use of the results by consulting the Terms of Service for your provider. Geocoding requires geopy. Install it using 'pip install geopy'. See also https://github.com/geopy/geopy Examples -------- >>> df = geopandas.tools.geocode( # doctest: +SKIP ... ["boston, ma", "1600 pennsylvania ave. washington, dc"] ... ) >>> df # doctest: +SKIP geometry address 0 POINT (-71.05863 42.35899) Boston, MA, United States 1 POINT (-77.03651 38.89766) 1600 Pennsylvania Ave NW, Washington, DC 20006... NÚphotonT©r Ú_query)ÚstringsrÚkwargsÚ throttle_timerrrÚgeocodes&rcKs*|dur d}t|ƒ}t|d||fi|¤ŽS)a Reverse geocode a set of points and get a GeoDataFrame of the resulting addresses. The points Parameters ---------- points : list or Series of Shapely Point objects. x coordinate is longitude y coordinate is latitude provider : str or geopy.geocoder (opt) Specifies geocoding service to use. If none is provided, will use 'photon' (see the Photon's terms of service at: https://photon.komoot.io). Either the string name used by geopy (as specified in geopy.geocoders.SERVICE_TO_GEOCODER) or a geopy Geocoder instance (e.g., geopy.geocoders.Photon) may be used. Some providers require additional arguments such as access keys See each geocoder's specific parameters in geopy.geocoders Notes ----- Ensure proper use of the results by consulting the Terms of Service for your provider. Reverse geocoding requires geopy. Install it using 'pip install geopy'. See also https://github.com/geopy/geopy Examples -------- >>> from shapely.geometry import Point >>> df = geopandas.tools.reverse_geocode( # doctest: +SKIP ... [Point(-71.0594869, 42.3584697), Point(-77.0365305, 38.8977332)] ... ) >>> df # doctest: +SKIP geometry address 0 POINT (-71.05941 42.35837) 29 Court Sq, Boston, MA 02108, United States 1 POINT (-77.03641 38.89766) 1600 Pennsylvania Ave NW, Washington, DC 20006... Nr Fr )ZpointsrrrrrrÚreverse_geocodeFs,rc Ksèddlm}ddlm}|r4t|tjƒsJt |¡}nt|tjƒsJt |¡}t|t ƒr\||ƒ}|fi|¤Ž}i}|  ¡D]d\} } z2|r”|  | ¡|| <n|j | j | jfdd|| <Wn|tfyÎd|| <Yn0t |¡qvt|ƒ} | S)Nr)ÚGeocoderQueryError)Úget_geocoder_for_serviceT)Z exactly_one)NN)Zgeopy.geocoders.baserrrÚ isinstanceÚpdZSeriesÚ geopandasZ GeoSeriesÚstrÚitemsrÚreverseÚyÚxÚ ValueErrorÚtimeÚsleepÚ_prepare_geocode_result) ÚdataÚforwardrrrrrZcoderÚresultsÚiÚsÚdfrrrr ys*        r c Cs–ttƒ}g}| ¡D]l\}}|dur0tƒ}d}n*|\}}|durHtƒ}nt|d|dƒ}|d |¡|d |¡| |¡qtj||dd}|S)z› Helper function for the geocode function Takes a dict where keys are index entries, values are tuples containing: (address, (lat, lon)) NrrZgeometryÚaddressz EPSG:4326)ÚindexZcrs)rÚlistrrÚappendrZ GeoDataFrame) r"Údr'r#r$Úpr&Úlocr%rrrr˜s  r)N)N) Ú collectionsrrZpandasrZshapely.geometryrrr rrr rrrrrÚs   - 3