How to multiple all rows of a Pandas dataframe by a single row in another Pandas dataframe?

Question

I have this Dataframe in python

and I want to multiple every row in the first dataframe by this single row in the dataframe below as a vector

Some things I have tried from googling : df.mul, df.apply. But it seems to multiply the two frames together normally instead of a vectorized operation

Answer 1

Example data:

df = pd.DataFrame({'x':[1,2,3], 'y':[1,2,3]})
v1 = pd.DataFrame({'x':[2], 'y':[3]})

Multiply DataFrame with row:

df.multiply(np.array(v1), axis='columns')

Answer 2

If the use case needs accurate matching of columns

Example:

df = pd.DataFrame([[1, 2], [3, 4]], columns=['x', 'y'])
coeffs_df = pd.DataFrame([[10, 9]], columns=['y', 'x'])

Need to convert the df with single row ( coeffs_df ) to a series first, the perform multiply

df.multiply(coeffs_df.iloc[0], axis='columns')