MetaFrame

MetaFrame(df, outputs[, log_vars, ...])

Abstract Base Class for WideData and TidyData.

Methods

Attributes

`MetaFrame.float_inputs`	Columns of dataframe with "float64" dtype.
`MetaFrame.inputs`	Columns of dataframe not contained in `outputs`.
`MetaFrame.log_vars`
`MetaFrame.logit_vars`
`MetaFrame.names_column`
`MetaFrame.specs`	Provides keyword arguments for easy instantiation of a similar object.
`MetaFrame.stdzr`
`MetaFrame.t`	Transformed data values.
`MetaFrame.values_column`
`MetaFrame.z`	Standardized data values.
`MetaFrame.df`
`MetaFrame.outputs`

class gumbi.aggregation.MetaFrame(df: DataFrame, outputs: list, log_vars: list | None = None, logit_vars: list | None = None, names_column: str = 'Variable', values_column: str = 'Value', stdzr: Standardizer | None = None)

Bases: DataFrame, ABC

Abstract Base Class for WideData and TidyData.

property float_inputs: list[str]: Columns of dataframe with “float64” dtype.

property inputs: list[str]: Columns of dataframe not contained in outputs.

property specs: dict: Provides keyword arguments for easy instantiation of a similar object.

abstract property t: DataFrame: Transformed data values.

abstract property z: DataFrame: Standardized data values.