minmax_scaling

minmax_scaling(array, columns, min_val=0, max_val=1)

In max scaling of pandas DataFrames.

Parameters

• array : pandas DataFrame or NumPy ndarray, shape = [n_rows, n_columns].

• columns : array-like, shape = [n_columns]

  Array-like with column names, e.g., ['col1', 'col2', ...] or column indices [0, 2, 4, ...]

• min_val : int or float, optional (default=0)

  minimum value after rescaling.

• max_val : int or float, optional (default=1)

  maximum value after rescaling.

Returns

• df_new : pandas DataFrame object.

  Copy of the array or DataFrame with rescaled columns.

Examples

For usage examples, please see
[http://jaisenbe58r.github.io/mlearner/user_guide/preprocessing/minmax_scaling/.](http://jaisenbe58r.github.io/mlearner/user_guide/preprocessing/minmax_scaling/.)


adapted from
https://github.com/rasbt/mlxtend/blob/master/mlxtend/preprocessing/scaling.py
Author: Sebastian Raschka <sebastianraschka.com>
License: BSD 3 clause