How to divide two groupby objects in pandas?

Question

I have the following code:

import numpy as np
import pandas as pd
obs = pd.DataFrame({
        'storm': [1, 1, 1, 1, 0, 0, 0, 0], 
        'lightning': [1, 1, 0, 0, 1, 1, 0, 0], 
        'thunder': [1, 0, 1, 0, 1, 0, 1, 0],
        'p': [0.20, 0.05, 0.04, 0.36, 0.04, 0.01, 0.03, 0.27]
    })
g1=obs.groupby(['lightning','thunder']).agg({'p':'sum'})
g2=obs.groupby(['lightning','thunder','storm']).agg({'p':'sum'})

which gives

Now how to divide more detailed groupby by less detailed (to calculate percentage)?

I have read this Pandas percentage of total with groupby but was unable to derive how to rewrite for my case.

Answer 1

g2.unstack() to get last level into columns. Then divide, broadcasting over columns. Then stack again.

g2.unstack().div(g1.p, axis=0).stack()