// This file is autogenerated, DO NOT EDIT
// aggregations/metrics/cartesian-centroid-aggregation.asciidoc:13

[source, python]
----
resp = client.indices.create(
    index="museums",
    mappings={
        "properties": {
            "location": {
                "type": "point"
            }
        }
    },
)
print(resp)

resp1 = client.bulk(
    index="museums",
    refresh=True,
    operations=[
        {
            "index": {
                "_id": 1
            }
        },
        {
            "location": "POINT (491.2350 5237.4081)",
            "city": "Amsterdam",
            "name": "NEMO Science Museum"
        },
        {
            "index": {
                "_id": 2
            }
        },
        {
            "location": "POINT (490.1618 5236.9219)",
            "city": "Amsterdam",
            "name": "Museum Het Rembrandthuis"
        },
        {
            "index": {
                "_id": 3
            }
        },
        {
            "location": "POINT (491.4722 5237.1667)",
            "city": "Amsterdam",
            "name": "Nederlands Scheepvaartmuseum"
        },
        {
            "index": {
                "_id": 4
            }
        },
        {
            "location": "POINT (440.5200 5122.2900)",
            "city": "Antwerp",
            "name": "Letterenhuis"
        },
        {
            "index": {
                "_id": 5
            }
        },
        {
            "location": "POINT (233.6389 4886.1111)",
            "city": "Paris",
            "name": "Musée du Louvre"
        },
        {
            "index": {
                "_id": 6
            }
        },
        {
            "location": "POINT (232.7000 4886.0000)",
            "city": "Paris",
            "name": "Musée d'Orsay"
        }
    ],
)
print(resp1)

resp2 = client.search(
    index="museums",
    size="0",
    aggs={
        "centroid": {
            "cartesian_centroid": {
                "field": "location"
            }
        }
    },
)
print(resp2)
----
