INNER CODE UNIT · Python

_category_variable_summary_table

aeturrell/skimpy · src/skimpy/__init__.py:408

def _category_variable_summary_table(xf: pd.DataFrame) -> pd.DataFrame:
    """Summarise dataframe columns that have category type.

    Args:
        xf (pd.DataFrame):  Dataframe with columns of only category types

    Returns:
        pd.DataFrame: A dataframe of summary statistics, with a number of rows
        determined by number of columns of xf
    """
    count_nans_vec = xf.isna().sum()
    data_dict = {
        MISSING_COL: count_nans_vec,
        COMPLETE_COL: 100 * count_nans_vec / xf.shape[0],
        "ordered": pd.Series(
            dict(zip(xf.columns, [xf[col].cat.ordered for col in xf.columns]))
        ),
        "unique": pd.Series(

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