Helper for column specific aggregation with control over output column names.
Subclass of typing.NamedTuple.
Column label in the DataFrame to apply aggfunc.
Function to apply to the provided column. If string, the name of a built-in pandas function.
Examples
>>> df = pd.DataFrame({"key": [1, 1, 2], "a": [-1, 0, 1], 1: [10, 11, 12]})
>>> agg_a = pd.NamedAgg(column="a", aggfunc="min")
>>> agg_1 = pd.NamedAgg(column=1, aggfunc=lambda x: np.mean(x))
>>> df.groupby("key").agg(result_a=agg_a, result_1=agg_1)
result_a result_1
key
1 -1 10.5
2 1 12.0
Attributes
Methods
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