dtoolkit.transformer.AssignTF#

class dtoolkit.transformer.AssignTF(*args, **kwargs)[source]#

A transformer could assign new columns to a DataFrame.

See also

pandas.DataFrame.assign: This transformer’s prototype method.

Examples

>>> import pandas as pd
>>> from dtoolkit.transformer import AssignTF
>>> df = pd.DataFrame({'temp_c': [17.0, 25.0]}, index=['Portland', 'Berkeley'])
>>> df
            temp_c
Portland    17.0
Berkeley    25.0

Where the value is a callable, evaluated on df:

>>> pipeline = AssignTF(temp_f=lambda x: x.temp_c * 9 / 5 + 32)
>>> pipeline.transform(df)
            temp_c  temp_f
Portland    17.0    62.6
Berkeley    25.0    77.0

Attributes

inverse_transform_method

Methods

`fit`(*_)	Fit transformer.
`fit_transform`(X[, y])	Fit to data, then transform it.
`inverse_transform`(X)	Undo transform to `X`.
`set_output`(*[, transform])	Set output container.
`transform`(X)	Transform `X`.
`transform_method`(self, **kwargs)	Assign new columns to a DataFrame.
`update_invargs`(args, *kwargs)	Inverse transform method argument entry.