Unstack  type: unstack#

class lumen.transforms.base.Unstack(*, fill_value, level, controls, name)#

Unstack applies pandas.DataFrame.unstack to the declared level.

df.unstack(<level>)


Parameters#

fill_value

type: int | str | dict
default: None
Replace NaN with this value if the unstack produces missing values.

level

type: int | list | str
default: -1
The indexes to unstack.


Methods#

Unstack.apply(table: DataFrame) DataFrame#

Given a table transform it in some way and return it.

Parameters:

table (DataFrame) – The queried table as a DataFrame.

Returns:

A DataFrame containing the transformed data.

Return type:

DataFrame

Unstack.to_spec(context: Dict[str, Any] | None = None) Dict[str, Any]#

Exports the full specification to reconstruct this component.

Return type:

Resolved and instantiated Component object