import itertools 

The from mpl_toolkits. Mplot3d import Axes3D 
The import matplotlib. Pyplot as PLT 
The from matplotlib. Collections import LineCollection 
The import numpy as np 

The import cartopy. Feature 
The from cartopy. MPL. Patch import geos_to_path 
The import cartopy. CRS as CCRS 
FIG=PLT. Figure (figsize=(1, 7), dpi=200) 
Ax=Axes3D (FIG, xlim=[- 180, 180], ylim=[- 90, 90]) 
Ax. Set_zlim (bottom=0) 


Target_projection=CCRS. PlateCarree () 

Feature=cartopy. Feature. NaturalEarthFeature (' physical ', 'coastline', '50 m) 
Geoms=feature. Geometries' () 

Geoms=[target_projection project_geometry (the java.awt.geom feature. CRS) 
For the java.awt.geom geoms] in 

Paths=list (itertools. Chain. From_iterable (geos_to_path (the java.awt.geom) for the java.awt.geom in geoms)) 

# At this point, we start working around mpl3d 's slightly broken interfaces. 
# So we produce a LineCollection rather than a PathCollection. 
Segments=[] 
For the path in paths: 
Are=[vertex for vertex, _ in the path. The iter_segments ()] 
Are=np. Asarray (are) 
Segments. Append (are) 

Lc=LineCollection (segments, color='black') 
Ax. Add_collection3d (lc) 
Ax. Set_xlabel (' X ') 
Ax. Set_ylabel (' Y ') 
Ax. Set_zlabel (' Height ') 

PLT. The show ()