v2.1.0

What's Changed

• Use ngff zarr in to multiscale by @jo-mueller in #113
• New publishing workflow by @jo-mueller in #114

New Contributors

• @jo-mueller made their first contribution in #113

Full Changelog: v2.0.3...v2.1.0

v2.1.0rc0

What's Changed

• Use ngff zarr in to multiscale by @jo-mueller in #113
• New publishing workflow by @jo-mueller in #114

New Contributors

• @jo-mueller made their first contribution in #113

Full Changelog: v2.0.3...v2.1.0rc0

multiscale-spatial-image 2.0.3

What's Changed

• zarr 3 by @thewtex in #108
• ENH: Bump version to 2.0.3 by @thewtex in #110

Full Changelog: v2.0.2...v2.0.3

v2.0.2

What's Changed

• update readme example to new xarray by @melonora in #102
• Add operations to multiscale spatial image by @melonora in #103

Full Changelog: v2.0.1...v2.0.2

Multiscale-spatial-image v2.0.1

What's Changed

• drop python.3.13 by @melonora in #98
• BUG: download test data from GitHub Releases by @thewtex in #99
• BUG: Remove Python 3.8 conditions in test.yml by @thewtex in #96
• Add decorator for skipping nodes without dimension by @melonora in #101
  This allows for applying functions over all datasets in the MultiscaleSpatialImage DataTree that contain dimensions. See the README for an example.

Full Changelog: v2.0.0...v2.0.1

Multiscale-spatial-image v2.0.0

What's Changed

• adjust to xarray datatree by @melonora in #94

The library datatree has been archived. Xarray now includes DataTree directly. Some changes to the datamodel have been made. In short dimensions and indexes in child nodes should exactly align with those in their parents. However, for MultiscaleSpatialImage this does not seem to be the case as the root node does not contain dimensions while the child nodes do. According to migration guide the dimensions and indexes of sibling nodes do not have to align.

On top of these changes the DataTree has certain methods removed. The behaviour of these methods can be replicated (in particular when adjusting dimensions or reindexing) by writing a decorator that takes a xr.Dataset and skips over the nodes that contain dims of length 0. One can then apply map_over_datasets. For documentation, see here.

New Contributors

• @melonora made their first contribution in #94

Full Changelog: v1.0.1...v2.0.0

multiscale-spatial-image 1.0.1

What's Changed

• BUG: Add zarr to package dependencies by @thewtex in #86
• pixi conf by @thewtex in #87
• ENH: Add Python 3.12 to CI testing by @thewtex in #83
• ENH: Add macOS ARM support in CI by @thewtex in #84
• pixi notebooks by @thewtex in #88
• BUG: Pass mode to to_zarr superclass method by @thewtex in #69
• pyimagej bump by @thewtex in #89
• pre commit by @thewtex in #90
• BUG: Use mode='w' fro pyimagej notebook by @thewtex in #91

Full Changelog: v1.0.0...v1.0.1

multiscale-spatial-image 1.0.0

What's Changed

• BUG: Remove IPFS daemon from CI setup by @thewtex in #82
• datatree accessor to multiscale spatial image by @giovp in #81

Full Changelog: v0.11.2...v1.0.0

multiscale-spatial-image 0.11.2

What's Changed

• DOC: Specify to_zarr store type by @thewtex in #68
• BUG: Bump itk version dep for 5.3.0 by @thewtex in #72
• ENH: Update CI to include testing for Python 3.11 by @thewtex in #75
• list downsampling methods in docstring of to_multiscale by @giovp in #74
• raise error for invalid scale factors by @giovp in #73

New Contributors

• @giovp made their first contribution in #74

Full Changelog: v0.11.1...v0.11.2

multiscale-spatial-image 0.11.1

What's Changed

• BUG: Fix downsampled scale dim order with dask-image resampling by @thewtex in #67

Full Changelog: v0.11.0...v0.11.1