Module bastionlab.polars.client
Classes
BastionLabPolars()-
Main BastionLabPolars API class.
This class contains all the endpoints allowed on the BastionLab server for Polars. It is instantiated by the
bastionlab.Clientclass and is accessible through thebastionlab.Client.polarsproperty.Methods
RemoteArray(self, identifier: Optional[str] = None, reference: Optional[bastionlab_pb2.Reference] = None) ‑> bastionlab.polars.frame.RemoteArray:get_df(self, identifier: str) ‑> FetchableLazyFrame-
Returns a
FetchableLazyFramefrom an BastionLab DataFrame identifier.Args: identifier (str): A unique identifier for the Remote DataFrame.
Returns: FetchableLazyFrame
list_dfs(self) ‑> List[FetchableLazyFrame]-
Enlists all the DataFrames available on the BastionLab server.
Returns: List[FetchableLazyFrame]
send_df(self, df: polars.internals.dataframe.frame.DataFrame, policy: bastionlab.polars.policy.Policy = Policy(safe_zone=Aggregation(min_agg_size=10), unsafe_handling=Review(), savable=True), sanitized_columns: List[str] = []) ‑> FetchableLazyFrame-
This method is used to send
pl.DataFrameto the BastionLab server.It readily accepts
pl.DataFrameand also specifies the DataFrame policy and a list of sensitive columns.Args: df (pl.DataFrame): Polars DataFrame policy (Policy, optional): BastionLab Remote DataFrame policy. This specifies which operations can be performed on DataFrames and they specified the data owner. sanitized_columns (List[str], optional): This field contains (sensitive) columns in the DataFrame that are to be removed when a Data Scientist wishes to fetch a query performed on the DataFrame.
Returns: FetchableLazyFrame