geopandas spatial join

Frightened Flamingo answered on October 18, 2022 Popularity 7/10 Helpfulness 3/10

answer geopandas spatial join

geopandas spatial join

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# One GeoDataFrame of countries, one of Cities.

# Execute spatial join
cities_with_country = cities.sjoin(countries, how="inner", predicate='intersects')

cities_with_country.head()
Out[18]: 
             name                   geometry  index_right  country
0    Vatican City  POINT (12.45339 41.90328)          141    Italy
1      San Marino  POINT (12.44177 43.93610)          141    Italy
192          Rome  POINT (12.48131 41.89790)          141    Italy
2           Vaduz   POINT (9.51667 47.13372)          114  Austria
184        Vienna  POINT (16.36469 48.20196)          114  Austria

Popularity 7/10 Helpfulness 3/10 Language python

Source: geopandas.org

Tags: geopandas join python spatial

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Contributed on Oct 18 2022

Frightened Flamingo

0 Answers Avg Quality 2/10

geopandas spatial join

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