Using named aggregation in Pandas

named_aggregation.py

import pandas as pd
import numpy as np

data = [[1, 5, 2], [2, 3, 1], [3, 1, 1], [1, 3, 2]]
df = pd.DataFrame(data, columns=["values_1", "values_2", "age"])

agg_columns = ["values_1", "values_2"]
agg_functions = [np.mean, np.std]
agg_dict = {col + "_" + f.__name__: (col, f) for col in agg_columns for f in agg_functions}
agg = df.groupby("age").agg(**agg_dict)