ENH: pd.NamedAgg should accept args and kwargs #58283
Description
Feature Type
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Adding new functionality to pandas
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Changing existing functionality in pandas
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Removing existing functionality in pandas
Problem Description
This part of the API seems inconsistent:
In [24]: df = pd.DataFrame({"group": list("aab"), "val1": range(3)}) In [28]: def n_between(ser, low, high): ...: return ser.between(low, high).sum() ...: In [29]: df.groupby("group")["val1"].agg(n_between, 0, 1) # works Out[29]: group a 2 b 0 Name: val1, dtype: int64 In [30]: df.groupby("group").agg(n_between=pd.NamedAgg("val1", n_between, 0, 1)) --------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[30], line 1 ----> 1 df.groupby("group").agg(n_between=pd.NamedAgg("val1", n_between, 0, 1)) TypeError: NamedAgg.__new__() takes 3 positional arguments but 5 were givenFeature Description
NamedAgg should forward along *args and **kwargs just like the normal callable function application can
Alternative Solutions
status quo
Additional Context
No response