How to create a two-level-dictionary from one file?

I have a csv file that looks like this (in reality it is bigger):

country;company1;company2;company3
finland;30;30;40
sweden;20;30;50
norway;10;20;70

How could I read this file the easiest, so that I could get a dictionary like this (dictionaries inside a dictionary):

{ 'company1': {'finland': 30, 'sweden': 20, 'norway': 10}
'company2': {'finland': 30, 'sweden': 30, 'norway': 20}
... 
}

I first tried to make a separate list from the first of the file, aka from the companies, then created a dictionary from them. But then I ran into problems while trying to read the lines after the first one and create a dictionary inside the already created one.

I’m sorry if the explanation is bad, I’m new to coding!

Answer

@fsimonjetz’s answer is great if you are already working with pandas in this project. If you are not, using it just for this task is a huge overkill, as we can parse and transpose the data with a simple logic.

import csv

from collections import defaultdict

output = defaultdict(dict)

with open('path/to/your.csv') as f:
    reader = csv.DictReader(f, delimiter=';')
    companies = reader.fieldnames[1:]
    for line in reader:
        country = line['country']
        for company in companies:
            output[company][country] = line[company]
            # or output.setdefault(company, {})[country] = line[company]
            # if you want 'output' to be a "normal" dict instead of defaultdict

print(dict(output))  # or just print(output) if you don't mind seeing OrderedDict
                     # repr

outputs

{'company1': {'finland': '30', 'sweden': '20', 'norway': '10'}, 
 'company2': {'finland': '30', 'sweden': '30', 'norway': '20'}, 
 'company3': {'finland': '40', 'sweden': '50', 'norway': '70'}}