Python: Divide each row of a DataFrame by another DataFrame vector

In df.divide(df2, axis="index"), you need to provide the axis/row of df2 (ex. df2.iloc[0]).

import pandas as pd

data1 = {"a":[1.,3.,5.,2.],
         "b":[4.,8.,3.,7.],
         "c":[5.,45.,67.,34]}
data2 = {"a":[4.],
         "b":[2.],
         "c":[11.]}

df1 = pd.DataFrame(data1)
df2 = pd.DataFrame(data2) 

df1.div(df2.iloc[0], axis="columns")

or you can use df1/df2.values[0,:]

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