Transformer

Base Transformer

Base transformer class for all transformers.

Transformer()	Base class for all transformers in dtoolkit.transformer.
MethodTF(*args, **kwargs)	Base class for all method transformers in dtoolkit.transformer.
DataFrameTF(*args, **kwargs)	Base class for all DataFrame transformers in dtoolkit.transformer.
NumpyTF(*args, **kwargs)	Base class for all numpy transformers in dtoolkit.transformer.
methodtf_factory(transform_method[, ...])	Quickly generate transformer from methods.

Sklearn Transformer

GeoKMeans([n_clusters, init, n_init, ...])	Spatial K-Means clustering.
OneHotEncoder(*, sparse_output, ...[, ...])	Encode categorical features as a one-hot numeric array.

Pandas Transformer

The parameters of transformer (args, kwargs) are the same to corresponding to relative pandas.DataFrame’s method.

AppendTF(*args, **kwargs)	A transformer could append rows data to the end of caller.
AssignTF(*args, **kwargs)	A transformer could assign new columns to a DataFrame.
DropTF(*args, **kwargs)	A transformer could drop specified labels from rows or columns.
EvalTF(*args, **kwargs)	A transformer could evaluate a string describing operations on DataFrame columns.
FilterInTF(*args, **kwargs)	A transformer could filter DataFrame contents.
FillnaTF(*args, **kwargs)	A transformer could fill NA/NaN values using the specified method.
GetTF(*args, **kwargs)	A transformer could get item from object for given key (ex: DataFrame column).
QueryTF(*args, **kwargs)	A transformer query the columns of a DataFrame with a boolean expression.
ReplaceTF(*args, **kwargs)	A transformer could replace values given input parameters.
SelectDtypesTF(*args, **kwargs)	A transformer could return a subset of the DataFrame's columns based on the column dtypes.

Numpy Transformer

The parameters of transformer (args, kwargs) are the same to corresponding to relative numpy.ndarray’s method.

RavelTF(*args, **kwargs)

A transformer could return a contiguous flattened array.