|code| |name|
001     Australia
002     London
...
001    <blank>

code_names = [ "",
    'Economic management',
    'Public sector governance',
    'Rule of law',
    'Financial and private sector development',
    'Trade and integration',
    'Social protection and risk management',
    'Social dev/gender/inclusion',
    'Human development',
    'Urban development',
    'Rural development',
    'Environment and natural resources management'
]

df_copy = df_.copy()

# Looks through each code name, and if it is empty, stores the proper name in its place
for x in range(len(df_copy.mjtheme_namecode)):
    for y in range(len(df_copy.mjtheme_namecode[x])):
        if(df_copy.mjtheme_namecode[x][y]['name'] == ""):
            df_copy.mjtheme_namecode[x][y]['name'] = code_names[int(df_copy.mjtheme_namecode[x][y]['code'])]

limit = 25
counter = 0

for x in range(len(df_copy.mjtheme_namecode)):
    for y in range(len(df_copy.mjtheme_namecode[x])):
        print(df_copy.mjtheme_namecode[x][y])
        counter += 1
    if(counter >= limit):
        break