replace index values in pandas dataframe with values from list

I have a dataframe and 2 lists.

the 1st list gives a set of index values from the dataframe I want to replace

the 2nd list gives the values I want to use

I don’t want to touch any of the other values

Here is the dataframe:

df =  pd.DataFrame.from_dict({u'Afghanistan': 6532.0,
 u'Albania': 662.0,
 u'Andorra': 2.0,
 u'Angola': 2219.0,
 u'Antigua and Barbuda': 0.0,
 u'Argentina': 6.0,
 u'Armenia': 15.0,
 u'Australia': 108.0,
 u'Azerbaijan': 210.0,
 u'Bahamas': 0.0,
 u'Bahrain': 6.0,
 u'Bangladesh': 5098.0,
 u'Barbados': 0.0,
 u'Belarus': 21.0,
 u'Belize': 0.0,
 u'Benin': 4244.0,
 u'Bhutan': 418.0,
 u'Bolivia (Plurinational State of)': 122.0,
 u'Bosnia and Herzegovina': 43.0,
 u'Botswana': 2672.0,
 u'Brazil': 36.0,
 u'Brunei Darussalam': 42.0,
 u'Bulgaria': 46.0,
 u'Burkina Faso': 6074.0,
 u'Burundi': 18363.0,
 u'Cabo Verde': 2.0,
 u'Cambodia': 12237.0,
 u'Cameroon': 14629.0,
 u'Canada': 206.0,
 u'Central African Republic': 3207.0,
 u'Chad': 3546.0,
 u'Chile': 0.0,
 u'China': 71093.0,
 u'Colombia': 1.0,
 u'Congo': 1678.0,
 u'Cook Islands': 2.0,
 u'Costa Rica': 0.0,
 u'Croatia': 9.0,
 u'Cuba': 0.0,
 u'Cyprus': 0.0,
 u'Czechia': 9.0,
 u"Cxf4te d'Ivoire": 5729.0,
 u'Democratic Republic of the Congo': 8282.0,
 u'Denmark': 14.0,
 u'Djibouti': 183.0,
 u'Dominica': 0.0,
 u'Dominican Republic': 253.0,
 u'Ecuador': 0.0,
 u'Egypt': 2633.0,
 u'El Salvador': 0.0,
 u'Eritrea': 789.0,
 u'Estonia': 9.0,
 u'Ethiopia': 1660.0,
 u'France': 10000.0,
 u'Gabon': 15.0,
 u'Gambia': 336.0,
 u'Georgia': 50.0,
 u'Ghana': 23068.0,
 u'Greece': 56.0,
 u'Grenada': 0.0,
 u'Guatemala': 0.0,
 u'Guinea': 11294.0,
 u'Guyana': 0.0,
 u'Haiti': 992.0,
 u'Honduras': 0.0,
 u'Hungary': 1.0,
 u'Iceland': 0.0,
 u'India': 38835.0,
 u'Indonesia': 3344.0,
 u'Iran (Islamic Republic of)': 11874.0,
 u'Iraq': 726.0,
 u'Israel': 36.0,
 u'Italy': 1457.0,
 u'Jamaica': 0.0,
 u'Japan': 22497.0,
 u'Jordan': 32.0,
 u'Kazakhstan': 245.0,
 u'Kenya': 21002.0,
 u'Kiribati': 0.0,
 u'Kuwait': 6.0,
 u'Kyrgyzstan': 16.0,
 u"Lao People's Democratic Republic": 332.0,
 u'Latvia': 0.0,
 u'Lebanon': 5.0,
 u'Lesotho': 660.0,
 u'Liberia': 5977.0,
 u'Lithuania': 19.0,
 u'Luxembourg': 0.0,
 u'Madagascar': 35256.0,
 u'Malawi': 304.0,
 u'Malaysia': 6187.0,
 u'Maldives': 20.0,
 u'Mali': 1578.0,
 u'Malta': 2.0,
 u'Marshall Islands': 0.0,
 u'Mauritius': 0.0,
 u'Mexico': 30.0,
 u'Micronesia (Federated States of)': 0.0,
 u'Mongolia': 925.0,
 u'Morocco': 7368.0,
 u'Mozambique': 7375.0,
 u'Myanmar': 845.0,
 u'Namibia': 469.0,
 u'Nauru': 0.0,
 u'Nepal': 9397.0,
 u'Netherlands': 1019.0,
 u'New Zealand': 65.0,
 u'Nicaragua': 0.0,
 u'Niger': 21319.0,
 u'Nigeria': 212183.0,
 u'Niue': 0.0,
 u'Norway': 0.0,
 u'Oman': 15.0,
 u'Pakistan': 2064.0,
 u'Palau': 0.0,
 u'Panama': 0.0,
 u'Papua New Guinea': 7135.0,
 u'Paraguay': 0.0,
 u'Peru': 1.0,
 u'Philippines': 7120.0,
 u'Poland': 77.0,
 u'Portugal': 45.0,
 u'Qatar': 46.0,
 u'Republic of Korea': 32647.0,
 u'Republic of Moldova': 687.0,
 u'Romania': 35.0,
 u'Russian Federation': 4800.0,
 u'Rwanda': 2095.0,
 u'Saint Kitts and Nevis': 0.0,
 u'Saint Lucia': 0.0,
 u'Saint Vincent and the Grenadines': 0.0,
 u'San Marino': 1.0,
 u'Sao Tome and Principe': 0.0,
 u'Senegal': 5839.0,
 u'Serbia': 38.0,
 u'Sierra Leone': 3575.0,
 u'Singapore': 141.0,
 u'Slovakia': 0.0,
 u'Somalia': 3965.0,
 u'South Africa': 1459.0,
 u'Spain': 152.0,
 u'Sri Lanka': 16527.0,
 u'Sudan': 2875.0,
 u'Suriname': 0.0,
 u'Swaziland': 10.0,
 u'Sweden': 59.0,
 u'Syrian Arab Republic': 146.0,
 u'Tajikistan': 192.0,
 u'Thailand': 4074.0,
 u'The former Yugoslav republic of Macedonia': 36.0,
 u'Togo': 3578.0,
 u'Tonga': 0.0,
 u'Trinidad and Tobago': 0.0,
 u'Tunisia': 47.0,
 u'Turkey': 16244.0,
 u'Turkmenistan': 113.0,
 u'Uganda': 42554.0,
 u'Ukraine': 817.0,
 u'United Arab Emirates': 69.0,
 u'United Kingdom of Great Britain and Northern Ireland': 104.0,
 u'United Republic of Tanzania': 14649.0,
 u'United States of America': 85.0,
 u'Uruguay': 0.0,
 u'Uzbekistan': 80.0,
 u'Vanuatu': 9.0,
 u'Venezuela (Bolivarian Republic of)': 22.0,
 u'Viet Nam': 16512.0,
 u'Zambia': 30930.0,
 u'Zimbabwe': 1483.0}, orient = 'index')

Here is the 1st list:

list1 = [u'Bolivia (Plurinational State of)', u'Brunei Darussalam', u'Cabo Verde', u'China',
    u'Congo', u'Cook Islands', u'Czechia', u"Cxf4te d'Ivoire", 
    u"Democratic People's Republic of Korea", u'France', u'Iran (Islamic Republic of)', 
    u"Lao People's Democratic Republic", u'Micronesia (Federated States of)', u'Niue', 
    u'Republic of Korea', u'Republic of Moldova', u'Russian Federation', u'Sao Tome and Principe', 
    u'Serbia', u'Somalia', u'Syrian Arab Republic', u'The former Yugoslav republic of Macedonia', 
    u'United Kingdom of Great Britain and Northern Ireland', u'United Republic of Tanzania', 
    u'United States of America', u'Venezuela (Bolivarian Republic of)', u'Viet Nam']

Here is the 2nd list

list2 = [u'Bolivia', u'Brunei', u'Cape Verde', u'China[1]', u'Democratic Republic of the Congo', 
    u'Cook Islands (NZ)', u'Czech Republic', u'Ivory Coast', u'North Korea', u'France[2]', 
    u'Iran', u'Laos', u'Federated States of Micronesia', u'Niue (NZ)', u'South Korea', 
    u'Moldova[3]', u'Russia', u'Sxe3o Tomxe9 and Prxedncipe', u'Serbia[5]', 
    u'Somalia[6]', u'Syria', u'Macedonia', u'United Kingdom', u'Tanzania', 
    u'United States', u'Venezuela', u'Vietnam']

This is clearly the sort of thing python excels at – and I suspect a simple for loop will do it but I can’t quite wrap my head around the logic (yet)

Any help gratefully appreciated!