Open MartinThoma opened 5 years ago
For capitals: capital
is what is there, CapitalName
is from another source
>>> df_new[df_new['capital'] != df_new['CapitalName']][['capital', 'CapitalName']]
capital CapitalName
8 NaN NaN
9 St. John's Saint John's
26 Sucre La Paz
27 Kralendijk NaN
30 NaN NaN
31 Brasília Brasilia
32 NaN Diego Garcia
39 Yaoundé Yaounde
46 Flying Fish Cove The Settlement
48 Bogotá Bogota
52 San José San Jose
69 NaN Mbabane
72 Tórshavn Torshavn
76 Cayenne NaN
78 NaN Port-aux-Français
87 St. George's Saint George's
88 Basse-Terre NaN
89 Hagåtña Hagatna
91 St. Peter Port Saint Peter Port
96 NaN NaN
99 NaN NaN
101 Reykjavík Reykjavik
112 St. Helier Saint Helier
121 NaN Vientiane
130 NaN NaN
135 Malé Male
139 NaN NaN
142 NaN NaN
152 Naypyidaw Rangoon
153 Windhoek Hargeisa
155 Windhoek North Nicosia
159 Nouméa Noumea
170 Ngerulmud Melekeok
174 Asunción Asuncion
182 Saint-Denis NaN
191 St. Pierre Saint-Pierre
195 São Tomé Sao Tome
208 Grytviken King Edward Point
211 Sri Jayawardenapura Kotte Colombo
220 Dodoma Dar es Salaam
223 Lomé Lome
224 NaN Atafu
225 Nukuʻalofa Nuku'alofa
230 Cockburn Town Grand Turk
233 Kiev Kyiv
237 NaN Washington, D.C.
240 Port Vila Port-Vila
246 El Aaiún El-Aaiún
247 Sanaá Sanaa
250 NaN Kinshasa
251 NaN Pristina
alpha-2 CountryCode
27 BQ NaN
30 BV NaN
76 GF NaN
88 GP NaN
139 MQ NaN
142 YT NaN
153 NaN NaN
154 NaN NaN
155 NaN NaN
182 RE NaN
250 NaN CD
251 NaN KO
Potential errors: The
en_name
is what is currently in the dataset