Shape disappears after changing the CCRS

Question

Follwing another Q&A, I am plotting the countries of the African continent on the earth sphere:

import cartopy
import cartopy.crs as ccrs
from matplotlib import pyplot as plt

import geopandas as gpd

world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
africa = world[(world['continent'] == 'Africa')]

latlon_proj = ccrs.PlateCarree()
axis_proj = ccrs.Mollweide()

ax = plt.axes(projection=axis_proj)
ax.stock_img()

for ea in africa['geometry']:
    
    feat = cartopy.feature.ShapelyFeature(
        [ea],
        latlon_proj,
        facecolor="lime",
        edgecolor='black',
        lw=0.2
        )
    
    ax.add_feature(feat)

plt.show()

However when I change latlon_proj and axis_proj to ccrs.Orthographic(), the African continent disappears:

import cartopy
import cartopy.crs as ccrs
from matplotlib import pyplot as plt

import geopandas as gpd

world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
africa = world[(world['continent'] == 'Africa')]

latlon_proj = ccrs.Orthographic()
axis_proj = ccrs.Orthographic()

ax = plt.axes(projection=axis_proj)
ax.stock_img()

for ea in africa['geometry']:
    
    feat = cartopy.feature.ShapelyFeature(
        [ea],
        latlon_proj,
        facecolor="lime",
        edgecolor='black',
        lw=0.2
        )
    
    ax.add_feature(feat)

plt.show()

How can I keep the African continent when changing the CCRS?

Answer 1

There is a wrong use of CRS in the code. Here is the correct version of it.

import cartopy
import cartopy.crs as ccrs
from matplotlib import pyplot as plt

import geopandas as gpd

world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
africa = world[(world['continent'] == 'Africa')]

latlon_proj = ccrs.PlateCarree()  ## The correct CRS
axis_proj = ccrs.Orthographic()

ax = plt.axes(projection=axis_proj)
ax.stock_img()

for ea in africa['geometry']:

    feat = cartopy.feature.ShapelyFeature(
        [ea],
        latlon_proj,
        facecolor="lime",
        edgecolor='black',
        lw=0.2
        )

    ax.add_feature(feat)

plt.show()