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开源软件名称(OpenSource Name):geopy/geopy开源软件地址(OpenSource Url):https://github.com/geopy/geopy开源编程语言(OpenSource Language):Python 99.7%开源软件介绍(OpenSource Introduction):geopygeopy is a Python client for several popular geocoding web services. geopy makes it easy for Python developers to locate the coordinates of addresses, cities, countries, and landmarks across the globe using third-party geocoders and other data sources. geopy includes geocoder classes for the OpenStreetMap Nominatim, Google Geocoding API (V3), and many other geocoding services. The full list is available on the Geocoders doc section. Geocoder classes are located in geopy.geocoders. geopy is tested against CPython (versions 3.7, 3.8, 3.9, 3.10) and PyPy3. geopy 1.x line also supported CPython 2.7, 3.4 and PyPy2. © geopy contributors 2006-2018 (see AUTHORS) under the MIT License. InstallationInstall using pip with: pip install geopy Or, download a wheel or source archive from PyPI. GeocodingTo geolocate a query to an address and coordinates: >>> from geopy.geocoders import Nominatim
>>> geolocator = Nominatim(user_agent="specify_your_app_name_here")
>>> location = geolocator.geocode("175 5th Avenue NYC")
>>> print(location.address)
Flatiron Building, 175, 5th Avenue, Flatiron, New York, NYC, New York, ...
>>> print((location.latitude, location.longitude))
(40.7410861, -73.9896297241625)
>>> print(location.raw)
{'place_id': '9167009604', 'type': 'attraction', ...} To find the address corresponding to a set of coordinates: >>> from geopy.geocoders import Nominatim
>>> geolocator = Nominatim(user_agent="specify_your_app_name_here")
>>> location = geolocator.reverse("52.509669, 13.376294")
>>> print(location.address)
Potsdamer Platz, Mitte, Berlin, 10117, Deutschland, European Union
>>> print((location.latitude, location.longitude))
(52.5094982, 13.3765983)
>>> print(location.raw)
{'place_id': '654513', 'osm_type': 'node', ...} Measuring DistanceGeopy can calculate geodesic distance between two points using the geodesic distance or the great-circle distance, with a default of the geodesic distance available as the function geopy.distance.distance. Here's an example usage of the geodesic distance, taking pair
of >>> from geopy.distance import geodesic
>>> newport_ri = (41.49008, -71.312796)
>>> cleveland_oh = (41.499498, -81.695391)
>>> print(geodesic(newport_ri, cleveland_oh).miles)
538.390445368 Using great-circle distance, also taking pair of >>> from geopy.distance import great_circle
>>> newport_ri = (41.49008, -71.312796)
>>> cleveland_oh = (41.499498, -81.695391)
>>> print(great_circle(newport_ri, cleveland_oh).miles)
536.997990696 DocumentationMore documentation and examples can be found at Read the Docs. |
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