reverse geocoding of thousands of coordinates to get country only

You can utilize the geopandas library and use their world dataset:

import geopandas as gpd

world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))

Now, you can load your coordinates into pandas dataframe and convert them into POINT geometries:

df = pd.read_csv('my_points.csv')
gdf = gpd.GeoDataFrame(df, geometry = gpd.points_from_xy(df.Longitude, df.Latitude))

Now you can join your points and get the countries they are residing in:

result = gpd.sjoin(gdf, world, how = 'left')

Suggestion : 2

I have >34.000 geographic coordinates in anycodings_python my data in .csv format, for each of those I anycodings_python need to return the country. ,Now, you can load your coordinates into anycodings_reverse-geocoding pandas dataframe and convert them into anycodings_reverse-geocoding POINT geometries:,Now you can join your points and get the anycodings_reverse-geocoding countries they are residing in:,I am wondering, can I sidestep the Geocoder anycodings_python library or Google API altogether, given that anycodings_python I only need a country, not street address or anycodings_python anything fine? Somehow coordinates of anycodings_python countries seem to be common knowledge.

You can utilize the geopandas library anycodings_reverse-geocoding and use their world dataset:

import geopandas as gpd

world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))

Now, you can load your coordinates into anycodings_reverse-geocoding pandas dataframe and convert them into anycodings_reverse-geocoding POINT geometries:

df = pd.read_csv('my_points.csv')
gdf = gpd.GeoDataFrame(df, geometry = gpd.points_from_xy(df.Longitude, df.Latitude))

Now you can join your points and get the anycodings_reverse-geocoding countries they are residing in:

result = gpd.sjoin(gdf, world, how = 'left')

Suggestion : 3

Products GEOCODING API Quick Start start geocoding ASAP API Documentation parameters, best practices, response codes Demo try the API out Libraries and SDKs more than 30 programming languages Tutorials example code GEOSEARCH Location Autosuggest for forms or maps Demo play with different configurations add search to a map: Leafletjs OpenLayers Service status , Write Your Reverse Geocoder in Python Connect to Postgres Query the Database Return the Geocode Results , At OpenCage we operate a highly-available, easy to use, affordable geocoding API built on open data, and used by hundreds of customers around the world. Learn more. ,Their interior. All the points that can be found within the polygon

1._

{
   "type": "Point",
   "coordinates": [-164.91, 30.52]
}

2._

<Placemark>
   <name>Example Name</name>
   <Point>
      <coordinates>-164.91,30.52</coordinates>
   </Point>
</Placemark>
</Document>
</kml>

3._

import os

for i in os.listdir(os.getcwd()):
   os.system(f 'ogr2ogr -f "PostgreSQL" PG:"dbname=oceans_db user=postgres" "{i}" -nln oceans -append')

5._

SELECT *

   FROM oceans_db

WHERE ST_Contains(wkb_geometry, ST_SetSRID(ST_Point(-63.70, 40.75), 4326));

6._

command = "SELECT name "
command += "FROM destination_table "
command += "WHERE ST_Contains(wkb_geometry, ST_SetSRID( ST_Point( -63.70,40.75), 4326))"

Suggestion : 4

You can try out other geocoding options on the Geocoding API Playground >>,Forward Geocoding is the process of converting a street address into geographic coordinates.,On this page, we'll be exploring Geocoding API and Forward Geocoding. For more details on other Geocode APIs, visit Reverse Geocoding API page and the Address Autocomplete API page.,Online Reverse Geocoding

https: //api.geoapify.com/v1/geocode/search?text=11%20Rue%20Grenette%2C%2069002%20Lyon%2C%20France&apiKey=YOUR_API_KEY

https: //api.geoapify.com/v1/geocode/search?housenumber=11&street=Rue%20Grenette&postcode=69002&city=Lyon&country=France&apiKey=YOUR_API_KEY

https: //api.geoapify.com/v1/geocode/search?text=Avenue%20Francois-Besson&bias=proximity:6.137464,46.197757&apiKey=YOUR_API_KEY

https: //api.geoapify.com/v1/geocode/search?text=Paris&filter=countrycode:us&apiKey=YOUR_API_KEY

https: //api.geoapify.com/v1/geocode/search?text=Disneyland&limit=10&filter=rect:1.860012,48.624200,2.847246,49.1148054&apiKey=YOUR_API_KEY

https: //api.geoapify.com/v1/geocode/search?text=Frohmestra%C3%9Fe%2087c%2C%2022459%20Hamburg%2C%20Germany&format=json&apiKey=YOUR_API_KEY