`dacapo.experiments.datasplits.datasets.arrays.zarr_array`

Module Contents

Classes

This is a zarr array

Attributes

dacapo.experiments.datasplits.datasets.arrays.zarr_array.logger

class dacapo.experiments.datasplits.datasets.arrays.zarr_array.ZarrArray(array_config)

This is a zarr array

property attrs: Return a dictionary of metadata attributes stored on this array.

property axes

Returns the axes of this dataset as a string of charactes, as they are indexed. Permitted characters are:

zyx for spatial dimensions

c for channels

s for samples

property dims: int: Returns the number of spatial dimensions.

property writable: bool: Can we write to this Array?

property dtype: Any: The dtype of this array, in numpy dtypes

property num_channels: int | None: The number of channels provided by this dataset. Should return None if the channel dimension doesn’t exist.

property spatial_axes: List[str]

property data: Any: Get a numpy like readable and writable view into this array.

voxel_size() → funlib.geometry.Coordinate: The size of a voxel in physical units.

roi() → funlib.geometry.Roi: The total ROI of this array, in world units.

classmethod create_from_array_identifier(array_identifier, axes, roi, num_channels, voxel_size, dtype, write_size=None, name=None, overwrite=False): Create a new ZarrArray given an array identifier. It is assumed that this array_identifier points to a dataset that does not yet exist

classmethod open_from_array_identifier(array_identifier, name='')

add_metadata(metadata: Dict[str, Any]) → None