MicroDataFrame.groupby(col)[[cols]].aggfunc doesn't consider weights
MaxGhenis opened this issue · 1 comments
MaxGhenis commented
Example given d = mdf.MicroDataFrame(dict(g=["a", "a", "b"], y=[1, 2, 3]), weights=[4, 5, 6]):
d.groupby("g").sum() works:
y
--
14.0
18.0
d.groupby("g").y.sum() also works:
g
a 14.0
b 18.0
dtype: float64
d.groupby("g").sum()["y"] works too:
g
a 14.0
b 18.0
Name: y, dtype: float64
d.groupby("g")[["y"]].sum() does not:
| y
-- | --
3
3
d.groupby("g")["y"].sum() also doesn't work:
g
a 3
b 3
Name: y, dtype: int64
d.groupby("g").sum()[["y"]] produces a KeyError (see #192).