Create a parent child tree dictionary based on two columns in dataframe

Suggest I’ve a dataframe containing countries and cities looking like this:

data = {'Parent':['Netherlands','Belgium','Germany','France'],'Child':['Amsterdam','Brussels','Berlin', '']}

I want to create a tree dictionary depicting which city belongs to which country.
In this example I the country France has no cities, I don’t want to have the empty values as child node in the dictionary.

Can someone point me into the right direction on what to use to reach this solution?

Kind regards

>Solution :

Using pandas:

df = pd.DataFrame(data)
df.transpose()

0         1        2       3
Parent  Netherlands   Belgium  Germany  France
Child     Amsterdam  Brussels   Berlin

Or using zip:

dict(zip(*data.values()))

{'Netherlands': 'Amsterdam', 'Belgium': 'Brussels', 'Germany': 'Berlin', 'France': ''}