我试图创建一个choroplethMap使用plotly和mapbox类似于美国Maphttps://plot.ly/python/mapbox-county-choropleth/，但非洲国家。我对Python和编码是新手，所以我有点迷路。我的地理数据json没有像Plotly示例那样的“id”字段。我需要创建一个吗？或者我只需要按国家DF索引？但是我如何匹配json文件中的示例呢？任何帮助都将不胜感激

with open('custom.geo.json') as response:
    africa_geo = json.load(response)
data=pd.read_csv('africa_project.csv')

africa_geo['features'][0]

{'type': 'Feature',
 'properties': {'scalerank': 0,
  'featurecla': 'Admin-0 country',
  'labelrank': 3,
  'sovereignt': 'Burkina Faso',
  'sov_a3': 'BFA',
  'adm0_dif': 0,
  'level': 2,
  'type': 'Sovereign country',
  'admin': 'Burkina Faso',
  'adm0_a3': 'BFA',
  'geou_dif': 0,
  'geounit': 'Burkina Faso',
  'gu_a3': 'BFA',
  'su_dif': 0,
  'subunit': 'Burkina Faso',
  'su_a3': 'BFA',
  'brk_diff': 0,
  'name': 'Burkina Faso',
  'name_long': 'Burkina Faso',
  'brk_a3': 'BFA',
  'brk_name': 'Burkina Faso',
  'brk_group': None,
  'abbrev': 'B.F.',
  'postal': 'BF',
  'formal_en': 'Burkina Faso',
  'formal_fr': None,
  'note_adm0': None,
  'note_brk': None,
  'name_sort': 'Burkina Faso',
  'name_alt': None,
  'mapcolor7': 2,
  'mapcolor8': 1,
  'mapcolor9': 5,
  'mapcolor13': 11,
  'pop_est': 15746232,
  'gdp_md_est': 17820,
  'pop_year': -99,
  'lastcensus': 2006,
  'gdp_year': -99,
  'economy': '7. Least developed region',
  'income_grp': '5. Low income',
  'wikipedia': -99,
  'fips_10_': 'UV',
  'iso_a2': 'BF',
  'iso_a3': 'BFA',
  'iso_n3': '854',
  'un_a3': '854',
  'wb_a2': 'BF',
  'wb_a3': 'BFA',
  'woe_id': 23424978,
  'woe_id_eh': 23424978,
  'woe_note': 'Exact WOE match as country',
  'adm0_a3_is': 'BFA',
  'adm0_a3_us': 'BFA',
  'adm0_a3_un': -99,
  'adm0_a3_wb': -99,
  'continent': 'Africa',
  'region_un': 'Africa',
  'subregion': 'Western Africa',
  'region_wb': 'Sub-Saharan Africa',
  'name_len': 12,
  'long_len': 12,
  'abbrev_len': 4,
  'tiny': -99,
  'homepart': 1,
  'filename': 'BFA.geojson'},
 'geometry': {'type': 'Polygon',
  'coordinates': [[[-0.3976712649999, 15.002134501000072],
    [-0.361471923999943, 15.017740784000113],
    [-0.29917598499992, 15.054741110000064],
    [-0.236699177999867, 15.065618999000035],
    [-0.166987670999902, 15.049676819000098],
    [-0.033404092999916, 14.995933329000096],
    [-0.033197387999962, 14.995933329000096],
    [0.218466838000012, 14.910977275000109],
    [0.22084395400006, 14.888213806000126],
    [0.211852254000121, 14.874803772000078],
    ...]]}}

fig = go.Figure(go.Choroplethmapbox(geojson=africa_geo, locations=data.country_name, z=data.ranking,
                                    colorscale="Viridis"))

fig.update_layout(mapbox_style="dark", mapbox_accesstoken=token,
                  mapbox_zoom=1, mapbox_center = {"lat": 6.6111, "lon": 20.9394})

fig.show()