Aggregating Dask DataFrame Data

This function accepts a Dask DataFrame, a column name, and an aggregation function, then performs data aggregation on the specified column using the aggregation function, and finally returns the aggregated result as a Dask DataFrame.

Technology Stack : Dask, Dask DataFrame, Pandas-like operations

Code Type : Dask DataFrame Aggregation

Code Difficulty : Intermediate

                
                    
def aggregate_data(df, column_name, agg_func):
    """
    Aggregate data from a Dask DataFrame based on a specified column and aggregation function.

    Parameters:
    - df (dask.dataframe.DataFrame): The Dask DataFrame to aggregate.
    - column_name (str): The name of the column to aggregate.
    - agg_func (function): The aggregation function to apply.

    Returns:
    - result (dask.dataframe.DataFrame): The aggregated result as a Dask DataFrame.
    """
    return df.groupby(column_name).agg(agg_func).compute()