mgnipy.V2.datasets.annotate module

Contents

mgnipy.V2.datasets.annotate module#

class MetadataSettersMixin[source]#

Bases: object

append_biosamples_metadata(value)[source]#

Parameters:: value (dict [str , Any ])

append_mgnify_analyses(value)[source]#

Parameters:: value (dict [str , Any ])

append_mgnify_assemblies(value)[source]#

Parameters:: value (dict [str , Any ])

append_mgnify_runs(value)[source]#

Parameters:: value (dict [str , Any ])

append_mgnify_samples(value)[source]#

Parameters:: value (dict [str , Any ])

append_mgnify_studies(value)[source]#

Parameters:: value (dict [str , Any ])

append_obs(value)[source]#

Parameters:: value (dict [str , Any ])

property biosamples_metadata: ResultsHandler#

property mgnify_analyses: MGnifyMetadata#

property mgnify_assemblies: MGnifyMetadata#

property mgnify_runs: MGnifyMetadata#

property mgnify_samples: MGnifyMetadata#

property mgnify_studies: MGnifyMetadata#

property obs: ResultsHandler#

obs_metadata(df_engine='pandas', expand_nested_dicts=True, drop_duplicates=False, how='left', coalesce=True, for_runs=None, index_col_name='_mgnipy_runs_accs')[source]#

Parameters:

df_engine (Literal ['polars', 'pandas'])
expand_nested_dicts (bool )
drop_duplicates (bool )
coalesce (bool )
for_runs (list [str ] | None)
index_col_name (str )

Return type:

DataFrame | DataFrame