How to perform a spatial query using GeoPandas?





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I have two shapefiles: Italian postcodes; and Italian municipalities. Both are polygon format and both contains the name of each relevant shape. I'd like to add to the postcode shapefile a field for the postcode's municipality. I believe this is a spatial query. How do I do this using GeoPandas?










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    I have two shapefiles: Italian postcodes; and Italian municipalities. Both are polygon format and both contains the name of each relevant shape. I'd like to add to the postcode shapefile a field for the postcode's municipality. I believe this is a spatial query. How do I do this using GeoPandas?










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      1












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      I have two shapefiles: Italian postcodes; and Italian municipalities. Both are polygon format and both contains the name of each relevant shape. I'd like to add to the postcode shapefile a field for the postcode's municipality. I believe this is a spatial query. How do I do this using GeoPandas?










      share|improve this question
















      I have two shapefiles: Italian postcodes; and Italian municipalities. Both are polygon format and both contains the name of each relevant shape. I'd like to add to the postcode shapefile a field for the postcode's municipality. I believe this is a spatial query. How do I do this using GeoPandas?







      python gis geopandas






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      edited Dec 5 '18 at 22:58









      Paul H

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      32.1k10103111










      asked Nov 16 '18 at 12:55









      Steve MaughanSteve Maughan

      449618




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          Such a spatial query can be done with the spatial join function sjoin of GeoPandas. It will look something like:



          res = geopandas.sjoin(postcodes, municipalities, op='contains')


          where the op will depend on the specific spatial relationship of your data.



          See https://geopandas.readthedocs.io/en/latest/mergingdata.html#spatial-joins for more.






          share|improve this answer
























          • Perfect! Just what I was looking for

            – Steve Maughan
            Nov 17 '18 at 14:13












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          1 Answer
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          Such a spatial query can be done with the spatial join function sjoin of GeoPandas. It will look something like:



          res = geopandas.sjoin(postcodes, municipalities, op='contains')


          where the op will depend on the specific spatial relationship of your data.



          See https://geopandas.readthedocs.io/en/latest/mergingdata.html#spatial-joins for more.






          share|improve this answer
























          • Perfect! Just what I was looking for

            – Steve Maughan
            Nov 17 '18 at 14:13
















          3














          Such a spatial query can be done with the spatial join function sjoin of GeoPandas. It will look something like:



          res = geopandas.sjoin(postcodes, municipalities, op='contains')


          where the op will depend on the specific spatial relationship of your data.



          See https://geopandas.readthedocs.io/en/latest/mergingdata.html#spatial-joins for more.






          share|improve this answer
























          • Perfect! Just what I was looking for

            – Steve Maughan
            Nov 17 '18 at 14:13














          3












          3








          3







          Such a spatial query can be done with the spatial join function sjoin of GeoPandas. It will look something like:



          res = geopandas.sjoin(postcodes, municipalities, op='contains')


          where the op will depend on the specific spatial relationship of your data.



          See https://geopandas.readthedocs.io/en/latest/mergingdata.html#spatial-joins for more.






          share|improve this answer













          Such a spatial query can be done with the spatial join function sjoin of GeoPandas. It will look something like:



          res = geopandas.sjoin(postcodes, municipalities, op='contains')


          where the op will depend on the specific spatial relationship of your data.



          See https://geopandas.readthedocs.io/en/latest/mergingdata.html#spatial-joins for more.







          share|improve this answer












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          share|improve this answer










          answered Nov 16 '18 at 14:53









          jorisjoris

          65.5k21161154




          65.5k21161154













          • Perfect! Just what I was looking for

            – Steve Maughan
            Nov 17 '18 at 14:13



















          • Perfect! Just what I was looking for

            – Steve Maughan
            Nov 17 '18 at 14:13

















          Perfect! Just what I was looking for

          – Steve Maughan
          Nov 17 '18 at 14:13





          Perfect! Just what I was looking for

          – Steve Maughan
          Nov 17 '18 at 14:13




















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