intermine_source
Module containing IntermineSource class.
IntermineSource class handles loading data stored in Intermine templates.
Intermine is an open source biological data warehouse developed by the University of Cambridge http://intermine.org/ . The IntermineSource launches a pod that can access all templates defined under a specified service. Please see Intermine's tutorials for a detailed overview of there python API: https://github.com/intermine/intermine-ws-python-docs .
Classes
IntermineSource
class IntermineSource(    *args: Any,    data_splitter: Optional[DatasetSplitter] = None,    seed: Optional[int] = None,    modifiers: Optional[Dict[str, DataPathModifiers]] = None,    ignore_cols: Optional[Union[str, Sequence[str]]] = None,    **kwargs: Any,):Data Source for loading data from Intermine templates.
Intermine is an open source biological data warehouse developed by the University of Cambridge http://intermine.org/ . The IntermineSource launches a pod that can access all templates defined under a specified service. Please see Intermine's tutorials for a detailed overview of their python API: https://github.com/intermine/intermine-ws-python-docs.
info
You must pip install intermine to use this data source.
Ancestors
Methods
def get_data(    self, table_name: Optional[str] = None, **kwargs: Any,) ‑> Optional[pandas.core.frame.DataFrame]:Loads and returns data from Intermine template.
Arguments
- table_name: Table name for multi table data sources. This comes from the DataStructure.
Returns A DataFrame-type object which contains the data.
def get_values(    self, col_names: List[str], table_name: Optional[str] = None, **kwargs: Any,) ‑> Dict[str, Iterable[Any]]:Get distinct values from list of columns.
Arguments
- col_names: The list of the columns whose distinct values should be returned.
- table_name: The name of the table to which the column exists. Required for multi-table databases.
Returns The distinct values of the requested column as a mapping from col name to a series of distinct values.
Variables
- multi_table : bool- Attribute to specify whether the datasource is multi table.
- table_names : List[str]- The names of the tables accessible from this data source.