How to divide a pandas pivot table by a dataframe with a difference shape?

Question

Objective: I have a pivot table, where I would like to divide each cell by a value from my dataframe, if there is a match.

Specifically, all the cells in the column 0 should be divided by 4 because Store1 is 4 in the dataframe. Similarly, the last column would be divided by 3.
The expected outcome is...

Data:

df = pd.DataFrame({'Start':['Store1','Store1','Store1','Store2','Store2','Store2','Store3','Store3','Store3'],
'Stop':['Store1','Store2','Store3','Store1','Store2','Store3','Store1','Store2','Store3'],
'Distance':[0,100,200,100,0,100,100,100,0]}).pivot(columns='Start', index = 'Stop', values=None)

df_div = pd.DataFrame({'Distance':['Store1','Store3'],'Import':[4,3]})
df_div = df_div.set_index('Distance')

Answer 1

Here's a solution with a for loop:

for store in df_div.index:
    divider = df_div.loc[store,][0]
    df.loc[:,(slice(None),store)] = df.loc[:,(slice(None),store)]/divider

Output of df :

       Distance                  
Start    Store1 Store2     Store3
Stop                             
Store1      0.0    100  33.333333
Store2     25.0      0  33.333333
Store3     50.0    100   0.000000

If you want to include only stores from df_div in df , you can use this outside the for loop:

df = df.loc[:,(slice(None),list(df_div.index))]