lamindb.core.FeatureManager

class lamindb.core.FeatureManager(host)

Bases: object

Feature manager (features).

See Data for more information.

Attributes

accessor_by_orm property

Accessor by ORM.

feature_set_by_slot property

Feature sets by slot.

Methods

add(features_values, slot=None, feature_field=FieldAttr(Feature.name))

Add features stratified by slot.

Parameters:

  • features_values (dict[str, str | int | float | bool]) – A dictionary of features & values. You can also pass {feature_identifier: None} to skip annotation by values.

  • slot (str | None, default: None) – The access slot of the feature sets in the artifact. For instance, .columns for DataFrame or .var or .obs for AnnData.

  • feature_field (DeferredAttribute, default: FieldAttr(Feature.name)) – The field of a reference registry to map values.

add_feature_set(feature_set, slot)

Add new feature set to a slot.

Parameters:

  • feature_set (FeatureSet) – FeatureSet A feature set object.

  • slot (str) – str The access slot.

add_from_anndata(var_field, obs_field=FieldAttr(Feature.name), mute=False, organism=None)

Add features from AnnData.

add_from_df(field=FieldAttr(Feature.name), organism=None)

Add features from DataFrame.

add_from_mudata(var_fields, obs_fields=None, mute=False, organism=None)

Add features from MuData.