dtoolkit.transformer.SelectDtypesTF#

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

A transformer could return a subset of the DataFrame’s columns based on the column dtypes.

See also

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

Examples

>>> import pandas as pd
>>> from dtoolkit.transformer import SelectDtypesTF
>>> df = pd.DataFrame({'a': [1, 2] * 3,
...                    'b': [True, False] * 3,
...                    'c': [1.0, 2.0] * 3})
>>> df
        a      b  c
0       1   True  1.0
1       2  False  2.0
2       1   True  1.0
3       2  False  2.0
4       1   True  1.0
5       2  False  2.0

>>> tf = SelectDtypesTF(include='bool')
>>> tf.transform(df)
0     True
1    False
2     True
3    False
4     True
5    False
Name: b, dtype: bool

>>> tf = SelectDtypesTF(include=['float64'])
>>> tf.transform(df)
0    1.0
1    2.0
2    1.0
3    2.0
4    1.0
5    2.0
Name: c, dtype: float64

>>> tf = SelectDtypesTF(exclude=['int64'])
>>> tf.transform(df)
        b    c
0   True  1.0
1  False  2.0
2   True  1.0
3  False  2.0
4   True  1.0
5  False  2.0

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[, include, exclude])	Return a subset of the DataFrame's columns based on the column dtypes.
`update_invargs`(args, *kwargs)	Inverse transform method argument entry.