![]() The how argument specifies the type of join that will occur and which geometry is retained in the resultant geodataframe. You can read more about each join type in the Shapely documentation. The default spatial index in GeoPandas currently supports the following values for op: The values for op correspond to the names of geometric binary predicates and depend on the spatial index implementation. The op argument specifies how geopandas decides whether or not to join the attributes of one object to another, based on their geometric relationship. Sjoin() has two core arguments: how and op. ![]() sjoin ( cities, countries, how = "inner", op = 'intersects' ) In : cities_with_country. # Want to merge so we can get each city's country. # One GeoDataFrame of countries, one of Cities. merge ( country_names, on = 'iso_a3' ) In : country_shapes. Sahara ESH 3 Canada CAN 4 United States of America USA # Merge with `merge` method on shared variable (iso codes): In : country_shapes = country_shapes. ![]() head () Out: name iso_a3 0 Fiji FJI 1 Tanzania TZA 2 W. ![]() Country state city list csv download option iso#USA # `country_names` is DataFrame with country names and iso codes In : country_names. # `country_shapes` is GeoDataFrame with country shapes and iso codes In : country_shapes. ![]()
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