sparrow.im.add_grid_labels_layer

sparrow.im.add_grid_labels_layer#

sparrow.im.add_grid_labels_layer(sdata, shape, size, output_shapes_layer, output_labels_layer, grid_type='hexagon', offset=(0, 0), chunks=None, client=None, transformations=None, scale_factors=None, overwrite=False)#

Adds a grid-based labels layer to the SpatialData object using either a hexagonal or square grid.

The function creates a corresponding shapes layer based on the specified grid type and parameters.

Parameters:

  • sdata – The SpatialData object to which the new grid-based labels layer and shapes layer will be added.

  • shape (tuple[int, int]) – The (y, x) shape of the resulting labels layer. This defines the grid’s size in terms of height (y) and width (x).

  • size (int) – The size of the grid cells. For a hexagonal grid, this is the radius of the hexagons; for a square grid, this is the side length of the squares.

  • output_shapes_layer (str) – The name of the shapes layer that corresponds to the generated grid. This layer will contain the polygons representing the grid’s shapes.

  • output_labels_layer (str) – The name of the labels layer that corresponds to the generated grid. This layer will contain the labels generated from the shapes.

  • grid_type (str (default: 'hexagon')) – The type of grid to create. Can be either "hexagon" for a hexagonal grid or "square" for a square grid. The default is "hexagon".

  • offset (tuple[int, int] (default: (0, 0))) – An optional translation offset applied to the grid. This is a tuple (y_offset, x_offset) that can shift the grid. Default is (0, 0), but it is recommended to use a zero offset, and specify the offset via passing a spatialdata.transformations.Translation to transformations.

  • chunks (Optional[int] (default: None)) – Specifies the chunk size for Dask arrays when calculating the labels layer.

  • client (Optional[Client] (default: None)) – A Dask Client instance, which will be passed to ‘sp.im.rasterize’ (function which rasterizes the generated output_shapes_layer) if specified. Refer to the ‘sp.im.rasterize’ docstring for further details.

  • transformations (Optional[dict[str, BaseTransformation]] (default: None)) – Transformations that will be added to the resulting output_shapes_layer and output_labels_layer.

  • scale_factors (Optional[Sequence[Union[dict[str, int], int]]] (default: None)) – Scale factors to apply for multiscale. Only applies to output_labels_layer.

  • overwrite (bool (default: False)) – If True, overwrites the output_shapes_layer and output_labels_layer if it already exists in sdata.

Return type:

SpatialData

Returns:

: The updated SpatialData object with the newly added grid-based shapes and labels layers.

Raises:

ValueError – If an unsupported grid type is specified. The valid options are "hexagon" or "square".

Notes

The function first generates a grid of shapes (either hexagons or squares) based on the specified grid type and parameters. These shapes are added as a new shapes layer in sdata. Then, a corresponding labels layer is generated from the shapes layer. The labels layer has the same spatial dimensions as specified in shape.

Contents