val of_pyobject : Py.Object.t -> tval to_pyobject : t -> Py.Object.tval create :
?pattern:string ->
?dtype_include:Py.Object.t ->
?dtype_exclude:Py.Object.t ->
unit ->
tCreate a callable to select columns to be used with :class:`ColumnTransformer`.
:func:`make_column_selector` can select columns based on datatype or the columns name with a regex. When using multiple selection criteria, **all** criteria must match for a column to be selected.
Parameters ---------- pattern : str, default=None Name of columns containing this regex pattern will be included. If None, column selection will not be selected based on pattern.
dtype_include : column dtype or list of column dtypes, default=None A selection of dtypes to include. For more details, see :meth:`pandas.DataFrame.select_dtypes`.
dtype_exclude : column dtype or list of column dtypes, default=None A selection of dtypes to exclude. For more details, see :meth:`pandas.DataFrame.select_dtypes`.
Returns ------- selector : callable Callable for column selection to be used by a :class:`ColumnTransformer`.
See also -------- sklearn.compose.ColumnTransformer : Class that allows combining the outputs of multiple transformer objects used on column subsets of the data into a single feature space.
Examples -------- >>> from sklearn.preprocessing import StandardScaler, OneHotEncoder >>> from sklearn.compose import make_column_transformer >>> from sklearn.compose import make_column_selector >>> import pandas as pd # doctest: +SKIP >>> X = pd.DataFrame('city': ['London', 'London', 'Paris', 'Sallisaw'],
... 'rating': [5, 3, 4, 5]) # doctest: +SKIP >>> ct = make_column_transformer( ... (StandardScaler(), ... make_column_selector(dtype_include=np.number)), # rating ... (OneHotEncoder(), ... make_column_selector(dtype_include=object))) # city >>> ct.fit_transform(X) # doctest: +SKIP array([ 0.90453403, 1. , 0. , 0. ],
[-1.50755672, 1. , 0. , 0. ],
[-0.30151134, 0. , 1. , 0. ],
[ 0.90453403, 0. , 0. , 1. ])
val to_string : t -> stringPrint the object to a human-readable representation.
val show : t -> stringPrint the object to a human-readable representation.
val pp : Format.formatter -> t -> unitPretty-print the object to a formatter.