fill_missing_cats

Description

Fill missing values using the mode of the categorical features.

fill_missing_cats(data=None, cat_features=None, missing_encoding=None, missing_col=False)

    '''  
    Parameters:
    ------------------
        data: DataFrame or name Series.

          Data set to perform operation on.

        cat_features: List, Series, Array.

            categorical features to perform operation on. If not provided, we automatically infer the categoricals from the dataset.

        missing_encoding: List, Series, Array.

            Values used in place of missing. Popular formats are [-1, -999, -99, '', ' ']

        missin_col: bool, Default True

            Creates a new column to capture the missing values. 1 if missing and 0 otherwise. This can sometimes help a machine learning model
    '''

Examples

For the save_data to work properly, a data science directory must have been created with the datasist startproject function.