Make use of 3 dataframe columns to create a dictionary with Col1 as Key and a dictionary of (Col2 and col3) as values for that Col1 key

everyone. I really need some help regarding a dictionary that I want to create using the following dataframe (as an example).

I want this dataframe be converted into a dictionary like that:

• first column to be a key with a dictionary as value (with column2 as key and integer as value)

The output should be:

dictionary = {
'Apple': {'Orange': 5, 'Pineapple': 10, 'Juice': 3}
'Strawberry': {'Raspberry': 11}
}

>Solution :

Group the dataframe by Column1 and create key value pairs inside a dict comprehension

{k: dict(zip(g['Column2'], g['Integer'])) for k, g in df.groupby('Column1')}

{'Apple': {'Juice': 3, 'Orange': 5, 'Pineapple': 10},
 'Strawberry': {'Raspberry': 11}}