describe pandas dataframe

super_describe.py

PERCENTILES = [.005, .01, .025, .05, .10, .20, .25, .50, .75, .80, .90, .95, .975, .99]
def super_describe(_d: pd.DataFrame, percentiles: Iterable[float]=PERCENTILES, missing_only: bool=False) -> pd.DataFrame: 
    """
    Include counts of missing and of unique values.
    """
    if isinstance(_d, pd.Series):
        _d = _d.to_frame()
    _dd = pd.concat((_d.isnull().sum().rename('missing'), _d.nunique(axis=0).rename('unique'), _d.describe(percentiles=percentiles).T, ), axis=1, sort=False)
    return _dd.loc[_dd.missing > 0] if missing_only else _dd