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weighted averae multiple columns

In [11]: g.apply(lambda x: pd.Series(np.average(x[["var1", "var2"]], weights=x["weights"], axis=0), ["var1", "var2"]))
Out[11]:
               var1       var2
category
a         38.250000  34.000000
b         23.285714   6.428571

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weighted averae multiple columns

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