prints value counts for each (categorical) column

category_counts.py

import pandas as pd
from pandas.core.dtypes.common import (
    is_numeric_dtype, is_datetime64_dtype, is_bool_dtype
)


def category_counts(dataframe, max_nunique=20, numeric=False, datetime=False):
    """
    prints value counts for each (categorical) column
    :param dataframe: a pandas DataFrame
    :param max_nunique: the max number of unique values a column can have for
                        its value counts to be printed; no limit is set if None
    :param numeric: boolean; if True, value counts for numeric data are also
                    printed
    :param datetime: boolean; if True, value counts for datetime data are also
                     printed
    :return: None
    """
    for column in dataframe.columns:
        col = dataframe[column]
        
        if is_bool_dtype(col):
            print(col.value_counts())
            print('\n')
            break
            
        if not any([
            max_nunique is not None and col.nunique() > max_nunique,
            not numeric and is_numeric_dtype(col),
            not datetime and is_datetime64_dtype(col)
        ]):
            print(col.value_counts())
            print('\n')