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>)

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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.

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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