The following steps will serve as a guideline to mirror the statistics of one selected pair from five selected countries:

1. Load the notebook with commands developed in step 2.3. (click on the link):

https://colab.research.google.com/drive/1S24nLFMr_yeo4VmXlpq8WKM7qcNLL1ZI?usp=sharing

2. Reload and remember the list with the pairwise combination of names of the five selected countries:

print(list_pairwise_comb)

first_pair = list_pairwise_comb[0]

print(first_pair[0])

print(first_pair[1])

[('Afghanistan', 'Albania'), 

('Afghanistan', 'Algeria'), 

('Afghanistan', 'American Samoa'), 

('Afghanistan', 'Andorra'), 

('Albania', 'Algeria'), 

('Albania', 'American Samoa'), 

('Albania', 'Andorra'), 

('Algeria', 'American Samoa'), 

('Algeria', 'Andorra'), 

('American Samoa', 'Andorra')] 

Afghanistan 

Albania 

3. Reload the five countries' names and select the first and second countries to find their iso3codes:

df_countries[df_countries['name'] == list_names[0]]

df_countries[df_countries['name'] == list_names[1]]