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
aggfunc
Alias for field number 1
column
Alias for field number 0
Methods
count(value, /)
Return number of occurrences of value.
index(value[, start, stop])
Return first index of value.
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