Collection.find

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

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

str

The id of the datapoint to find.

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

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

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Parameters

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Errors

​Parameters

​Returns

​Errors

Parameters

Returns

Errors