lamindb.Space

class lamindb.Space(name: str, description: str | None = None)

Bases: BaseSQLRecord

Workspaces with managed access for specific users or teams.

Guide: Manage access.

All data in this registry is synchronized from LaminHub so that spaces can be shared and reused across multiple LaminDB instances.

Simple fields

name: str

Name of space.

uid: str

Universal id.

description: str | None

Description of space.

created_at: datetime

Time of creation of record.

Relational fields

created_by: User

Creator of space.

blocks: SpaceBlock

Blocks that annotate this space.

Class methods

classmethod filter(*queries, **expressions)

Query records.

Parameters:

  • queries – One or multiple Q objects.

  • expressions – Fields and values passed as Django query expressions.

Return type:

QuerySet

See also

Examples

>>> ln.Project(name="my label").save()
>>> ln.Project.filter(name__startswith="my").to_dataframe()
classmethod get(idlike=None, **expressions)

Get a single record.

Parameters:

  • idlike (int | str | None, default: None) – Either a uid stub, uid or an integer id.

  • expressions – Fields and values passed as Django query expressions.

Raises:

lamindb.errors.DoesNotExist – In case no matching record is found.

Return type:

SQLRecord

See also

Examples

record = ln.Record.get("FvtpPJLJ")
record = ln.Record.get(name="my-label")
classmethod to_dataframe(include=None, features=False, limit=100)

Evaluate and convert to pd.DataFrame.

By default, maps simple fields and foreign keys onto DataFrame columns.

Guide: Query & search registries

Parameters:

  • include (str | list[str] | None, default: None) – Related data to include as columns. Takes strings of form "records__name", "cell_types__name", etc. or a list of such strings. For Artifact, Record, and Run, can also pass "features" to include features with data types pointing to entities in the core schema. If "privates", includes private fields (fields starting with _).

  • features (bool | list[str], default: False) – Configure the features to include. Can be a feature name or a list of such names. If "queryset", infers the features used within the current queryset. Only available for Artifact, Record, and Run.

  • limit (int, default: 100) – Maximum number of rows to display. If None, includes all results.

  • order_by – Field name to order the records by. Prefix with ‘-’ for descending order. Defaults to ‘-id’ to get the most recent records. This argument is ignored if the queryset is already ordered or if the specified field does not exist.

Return type:

DataFrame

Examples

Include the name of the creator:

ln.Record.to_dataframe(include="created_by__name"])

Include features:

ln.Artifact.to_dataframe(include="features")

Include selected features:

ln.Artifact.to_dataframe(features=["cell_type_by_expert", "cell_type_by_model"])
classmethod search(string, *, field=None, limit=20, case_sensitive=False)

Search.

Parameters:

  • string (str) – The input string to match against the field ontology values.

  • field (str | DeferredAttribute | None, default: None) – The field or fields to search. Search all string fields by default.

  • limit (int | None, default: 20) – Maximum amount of top results to return.

  • case_sensitive (bool, default: False) – Whether the match is case sensitive.

Return type:

QuerySet

Returns:

A sorted DataFrame of search results with a score in column score. If return_queryset is True. QuerySet.

See also

filter() lookup()

Examples

records = ln.Record.from_values(["Label1", "Label2", "Label3"], field="name").save()
ln.Record.search("Label2")
classmethod lookup(field=None, return_field=None)

Return an auto-complete object for a field.

Parameters:

  • field (str | DeferredAttribute | None, default: None) – The field to look up the values for. Defaults to first string field.

  • return_field (str | DeferredAttribute | None, default: None) – The field to return. If None, returns the whole record.

  • keep – When multiple records are found for a lookup, how to return the records. - "first": return the first record. - "last": return the last record. - False: return all records.

Return type:

NamedTuple

Returns:

A NamedTuple of lookup information of the field values with a dictionary converter.

See also

search()

Examples

Lookup via auto-complete on .:

import bionty as bt
bt.Gene.from_source(symbol="ADGB-DT").save()
lookup = bt.Gene.lookup()
lookup.adgb_dt

Look up via auto-complete in dictionary:

lookup_dict = lookup.dict()
lookup_dict['ADGB-DT']

Look up via a specific field:

lookup_by_ensembl_id = bt.Gene.lookup(field="ensembl_gene_id")
genes.ensg00000002745

Return a specific field value instead of the full record:

lookup_return_symbols = bt.Gene.lookup(field="ensembl_gene_id", return_field="symbol")
classmethod connect(instance)

Query a non-default LaminDB instance.

Parameters:

instance (str | None) – An instance identifier of form “account_handle/instance_name”.

Return type:

QuerySet

Examples

ln.Record.connect("account_handle/instance_name").search("label7", field="name")

Methods

save(*args, **kwargs)

Save.

Always saves to the default database.

Return type:

TypeVar(T, bound= SQLRecord)

delete(permanent=None)

Delete.

Parameters:

permanent (bool | None, default: None) – For consistency, False raises an error, as soft delete is impossible.

Return type:

None