tiled.adapters.array.ArrayAdapter

class tiled.adapters.array.ArrayAdapter(array: ndarray[tuple[int, ...], dtype[Any]], structure: ArrayStructure, *, metadata: Dict[str, str | int | float | bool | Dict[str, Dict[str, str | int | float | bool | Dict[str, JSON] | List[JSON]]] | List[Dict[str, str | int | float | bool | Dict[str, JSON] | List[JSON]]]] | None = None, specs: List[Spec] | None = None)

Wrap an array-like object in an interface that Tiled can serve.

Examples

Wrap any array-like.

>>> ArrayAdapter.from_array(numpy.random.random((100, 100)))

>>> ArrayAdapter.from_array(dask.array.from_array(numpy.random.random((100, 100)), chunks=(100, 50)))

__init__(array: ndarray[tuple[int, ...], dtype[Any]], structure: ArrayStructure, *, metadata: Dict[str, str | int | float | bool | Dict[str, Dict[str, str | int | float | bool | Dict[str, JSON] | List[JSON]]] | List[Dict[str, str | int | float | bool | Dict[str, JSON] | List[JSON]]]] | None = None, specs: List[Spec] | None = None) → None

Parameters:

array

structure

metadata

specs

Methods

__init__(array, structure, *[, metadata, specs])
from_array(array, *[, shape, chunks, dims, ...])
metadata()
read([slice])
read_block(block[, slice])
structure()

Attributes

dims
structure_family
supported_storage