Analyze the collection and save a result

import lamindb as ln
import bionty as bt

ln.context.uid = "zzJzdgJ763Dy0000"
ln.context.track()

→ connected lamindb: testuser1/test-facs

→ notebook imports: bionty==0.49.0 lamindb==0.76.2 scanpy==1.10.2

→ created Transform('zzJzdgJ763Dy0000') & created Run('2024-08-30 11:16:26.140095+00:00')

ln.Collection.df()

	uid	version	is_latest	name	description	hash	reference	reference_type	visibility	transform_id	meta_artifact_id	run_id	created_by_id	updated_at
id
2	JiViA1JU17Yq4IVG0001	2	True	My versioned cytometry collection	None	aIyjTZDm9LEyi4udLlQ-FA	None	None	1	2	None	2	1	2024-08-30 11:16:15.771444+00:00
1	JiViA1JU17Yq4IVG0000	1	False	My versioned cytometry collection	None	_SSVHoSL17yyiRlHc8Hrgw	None	None	1	1	None	1	1	2024-08-30 11:16:15.770420+00:00

collection = ln.Collection.get(
    name="My versioned cytometry collection", version="2"
)

adata = collection.load(join="inner")

/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/anndata/_core/anndata.py:1818: UserWarning: Observation names are not unique. To make them unique, call `.obs_names_make_unique`.
  utils.warn_names_duplicates("obs")

The AnnData has the reference to the individual files in the .obs annotations:

adata.obs.artifact_uid.cat.categories

Index(['Fv73U1Qh2gzlbwEH0000', 'aFXzlz4SBd35a5Xg0000'], dtype='object')

By default, the intersection of features is used:

adata.var.index

Index(['CD8', 'CD27', 'Ccr7', 'Cd4', 'CD45RA', 'CD3'], dtype='object')

Let us create a plot:

markers = bt.CellMarker.lookup()

import scanpy as sc

sc.pp.pca(adata)
sc.pl.pca(adata, color=markers.cd8.name, save="_cd8")

WARNING: saving figure to file figures/pca_cd8.pdf

artifact = ln.Artifact("./figures/pca_cd8.pdf", description="My result on CD8").save()
artifact.view_lineage()

Given the image is part of the notebook, there isn’t an actual need to save it and you can also rely on the report that you’ll create when saving the notebook:

ln.context.finish()

# clean up test instance
!lamin delete --force test-facs
!rm -r test-flow

Traceback (most recent call last):
  File "/opt/hostedtoolcache/Python/3.10.14/x64/bin/lamin", line 8, in <module>
    sys.exit(main())
  File "/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/rich_click/rich_command.py", line 367, in __call__
    return super().__call__(*args, **kwargs)
  File "/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/click/core.py", line 1157, in __call__
    return self.main(*args, **kwargs)
  File "/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/rich_click/rich_command.py", line 152, in main
    rv = self.invoke(ctx)
  File "/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/click/core.py", line 1688, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/click/core.py", line 1434, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/click/core.py", line 783, in invoke
    return __callback(*args, **kwargs)
  File "/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/lamin_cli/__main__.py", line 179, in delete
    return delete(instance, force=force)
  File "/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/lamindb_setup/_delete.py", line 98, in delete
    n_objects = check_storage_is_empty(
  File "/opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/lamindb_setup/core/upath.py", line 776, in check_storage_is_empty
    raise InstanceNotEmpty(message)
lamindb_setup.core.upath.InstanceNotEmpty: Storage /home/runner/work/lamin-usecases/lamin-usecases/docs/test-facs/.lamindb contains 3 objects ('_is_initialized' ignored) - delete them prior to deleting the instance

rm: cannot remove 'test-flow': No such file or directory