data = collection.find(
    "0186d6b6-66cc-fcfd-91df-bbbff72499c3",
)


# check if a datapoint exists
from tilebox.datasets.sync.dataset import NotFoundError

try:
    collection.find(
        "0186d6b6-66cc-fcfd-91df-bbbff72499c3",
        skip_data=True,
    )
    exists = True
except NotFoundError:
    exists = False

def Collection.find(
    datapoint_id: str,
    skip_data: bool = False
) -> xarray.Dataset
Find a specific datapoint in a collection by its id.

​
Parameters

​
datapoint_id
str
The id of the datapoint to find.
​
skip_data
bool
If True, the response contains only the ID and the timestamp for the datapoint. Defaults to False.

​
Returns

An xarray.Dataset containing the requested data point. Since it returns only a single data point, the output xarray dataset does not include a time dimension.

​
Errors

​
NotFoundError
No such datapoint: <id>
The specified datapoint does not exist in this collection.
data = collection.find(
    "0186d6b6-66cc-fcfd-91df-bbbff72499c3",
)


# check if a datapoint exists
from tilebox.datasets.sync.dataset import NotFoundError

try:
    collection.find(
        "0186d6b6-66cc-fcfd-91df-bbbff72499c3",
        skip_data=True,
    )
    exists = True
except NotFoundError:
    exists = False