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?
python gis 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?
python gis geopandas
add a comment |
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
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
python gis geopandas
edited Dec 5 '18 at 22:58
Paul H
32.1k10103111
32.1k10103111
asked Nov 16 '18 at 12:55
Steve MaughanSteve Maughan
449618
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.
Perfect! Just what I was looking for
– Steve Maughan
Nov 17 '18 at 14:13
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
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.
Perfect! Just what I was looking for
– Steve Maughan
Nov 17 '18 at 14:13
add a comment |
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.
Perfect! Just what I was looking for
– Steve Maughan
Nov 17 '18 at 14:13
add a comment |
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.
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.
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
add a comment |
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
add a comment |
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