aggregation_modules/custom_functions.py
def parse_unique_count_for_column(column_df, column):
    """
    returns column specific distribution details.
    sample output,
    ```
    "<column_df>": {
      "<>": 30
    }
    ```
    """

    return {column: get_unique_counts_of_column(column_df)}

    returns column specific distribution details.
    sample output,
    ```
    "<column_df>": {
      "<>": 30
    }
    ```
    
returns column specific distribution details.
returns column specific distribution details .
def parse_unique_count_for_column(column_df, column):
    return {column: get_unique_counts_of_column(column_df)}
def parse_unique_count_for_column ( column_df , column ) : return { column : get_unique_counts_of_column ( column_df ) }
returns column specific distribution details.
returns column specific distribution details .
"""
    returns column specific distribution details.
    sample output,
    ```
    "<column_df>": {
      "<>": 30
    }
    ```
    """
column_df
column