bionty.core.PublicOntology¶
- class bionty.core.PublicOntology(source=None, version=None, organism=None, *, include_id_prefixes=None, **kwargs)¶
 Bases:
objectPublicOntology object.
Attributes
- fields set¶
 All PublicOntology entity fields.
- organism property¶
 The
nameofOrganism.
- source property¶
 Name of the source.
- version property¶
 Version of the source.
Methods
- df()¶
 Pandas DataFrame of the ontology.
- Return type:
 DataFrame- Returns:
 A Pandas DataFrame of the ontology.
Examples
>>> import bionty_base as bt >>> bt.Gene().df()
- diff(compare_to, **kwargs)¶
 Determines a diff between two PublicOntology objects’ ontologies.
- Parameters:
 compare_to (
PublicOntology) – PublicOntology object that must be of the same class as the calling object.kwargs – Are passed to pd.DataFrame.compare()
- Return type:
 tuple[DataFrame,DataFrame]- Returns:
 A tuple of two DataFrames –
New entries.
A pd.DataFrame.compare result which denotes all changes in
selfandother.
Examples
>>> import bionty_base as bt >>> public_1 = bt.Disease(source="mondo", version="2023-04-04") >>> public_2 = bt.Disease(source="mondo", version="2023-04-04") >>> new_entries, modified_entries = public_1.diff(public_2) >>> print(new_entries.head()) >>> print(modified_entries.head())
- inspect(values, field, *, mute=False, **kwargs)¶
 Inspect a list of values against a field of entity reference.
- Parameters:
 values (
Iterable) – Identifiers that will be checked against the field.field (
PublicOntologyField) – The PublicOntologyField of the ontology to compare against. Examples are ‘ontology_id’ to map against the source ID or ‘name’ to map against the ontologies field names.return_df – Whether to return a Pandas DataFrame.
mute (
bool, default:False) – Whether to suppress logging. Defaults to False.kwargs – Used for backwards compatibility and return types.
- Return type:
 - Returns:
 A Dictionary of “validated” and “not_validated” identifiers
- If 
return_df: A DataFrame indexed by identifiers with a boolean __validated__column indicating compliance validation.
- If 
 
Examples
>>> import bionty_base as bt >>> public = bt.Gene() >>> gene_symbols = ["A1CF", "A1BG", "FANCD1", "FANCD20"] >>> public.inspect(gene_symbols, field=public.symbol)
- lookup(field=None)¶
 An auto-complete object for a PublicOntology field.
- Parameters:
 field (
PublicOntologyField|str|None, default:None) – The field to lookup the values for. Defaults to ‘name’.- Return type:
 
- Returns:
 A NamedTuple of lookup information of the field values.
Examples
>>> import bionty_base as bt >>> lookup = bt.CellType().lookup() >>> lookup.cd103_positive_dendritic_cell >>> lookup_dict = lookup.dict() >>> lookup['CD103-positive dendritic cell']
- map_synonyms(values, *, return_mapper=False, case_sensitive=False, keep='first', synonyms_field='synonyms', field=None)¶
 Maps input synonyms to standardized names.
- Return type:
 dict[str,str] |list[str]
- search(string, *, field=None, limit=None, case_sensitive=False, synonyms_field='synonyms')¶
 Search a given string against a PublicOntology field.
- Parameters:
 string (
str) – The input string to match against the field values.field (
PublicOntologyField|str|None, default:None) – The PublicOntologyField of the ontology the input string is matching against.top_hit – Return all entries ranked by matching ratios. If True, only return the top match. Defaults to False.
limit (
int|None, default:None) – Maximum amount of top results to return. If None, return all results. Defaults to None.case_sensitive (
bool, default:False) – Whether the match is case sensitive.synonyms_field (
PublicOntologyField|str|None, default:'synonyms') – By default also search against the synonyms (If None, skips search).
- Returns:
 Ranked search results.
Examples
>>> import bionty_base as bt >>> public = bt.CellType() >>> public.search("gamma delta T cell")
- standardize(values, field=None, *, return_field=None, return_mapper=False, case_sensitive=False, mute=False, keep='first', synonyms_field='synonyms')¶
 Convert into standardized names.
- Parameters:
 values (
Iterable) –IterableSynonyms that will be standardized.field (
PublicOntologyField|str|None, default:None) –Optional[str]The field representing the standardized names.return_field (
str|None, default:None) –Optional[str]The field to return. Defaults to field.return_mapper (
bool, default:False) –bool = FalseIfTrue, returns{input_synonym1: standardized_name1}.case_sensitive (
bool, default:False) –bool = FalseWhether the mapping is case sensitive.keep (
Literal['first','last',False], default:'first') –Literal["first", "last", False] = "first"When a synonym maps to multiple names, determines which duplicates to mark aspd.DataFrame.duplicatedmute (
bool, default:False) –Whether to mute logging. Defaults to False.
”first”: returns the first mapped standardized name
”last”: returns the last mapped standardized name
False: returns all mapped standardized name
synonyms_field (
PublicOntologyField|str, default:'synonyms') –str = "synonyms"A field containing the concatenated synonyms.
- Return type:
 dict[str,str] |list[str]- Returns:
 If
return_mapperisFalse– a list of standardized names. Otherwise, a dictionary of mapped values with mappable synonyms as keys and standardized names as values.
Examples
>>> import bionty_base as bt >>> public = bt.Gene() >>> gene_symbols = ["A1CF", "A1BG", "FANCD1", "FANCD20"] >>> standardized_symbols = public.standardize(gene_symbols, public.symbol)
- to_pronto()¶
 The Pronto Ontology object.
See: https://pronto.readthedocs.io/en/stable/api/pronto.Ontology.html
- validate(values, field, *, mute=False, **kwargs)¶
 Validate a list of values against a field of entity reference.
- Parameters:
 values (
Iterable) – Identifiers that will be checked against the field.field (
PublicOntologyField) – The PublicOntologyField of the ontology to compare against. Examples are ‘ontology_id’ to map against the source ID or ‘name’ to map against the ontologies field names.mute (
bool, default:False) – Whether to suppress logging. Defaults to False.kwargs – Used for backwards compatibility and return types.
- Return type:
 ndarray- Returns:
 A boolean array indicating compliance validation.
Examples
>>> import bionty_base as bt >>> public = bt.Gene() >>> gene_symbols = ["A1CF", "A1BG", "FANCD1", "FANCD20"] >>> public.validate(gene_symbols, field=public.symbol)