code: def main():
      fig = plt.figure(figsize=[10, 5])
      ax1 = fig.add_subplot(1, 2, 1, projection=ccrs.SouthPolarStereo())
      ax2 = fig.add_subplot(
          1,
          2,
          2,
          projection=ccrs.SouthPolarStereo(),
          sharex=ax1,
          sharey=ax1,
      )
      fig.subplots_adjust(
          bottom=0.05, top=0.95, left=0.04, right=0.95, wspace=0.02
      )
  
      # Limit the map to -60 degrees latitude and below.
      ax1.set_extent([-180, 180, -90, -60], ccrs.PlateCarree())
  
      ax1.add_feature(cfeature.LAND)
      ax1.add_feature(cfeature.OCEAN)
  
      ax1.gridlines()
      ax2.gridlines()
  
      ax2.add_feature(cfeature.LAND)
      ax2.add_feature(cfeature.OCEAN)
  
      # Compute a circle in axes coordinates, which we can use as a boundary
      # for the map. We can pan/zoom as much as we like - the boundary will be
      # permanently circular.
      theta = np.linspace(0, 2 * np.pi, 100)
      center, radius = [0.5, 0.5], 0.5
      verts = np.vstack([np.sin(theta), np.cos(theta)]).T
      circle = mpath.Path(verts * radius + center)
  
      ax2.set_boundary(circle, transform=ax2.transAxes)
  
      plt.show()
  
imports: import matplotlib.path
  import matplotlib.pyplot
  import numpy
  import cartopy.crs
  import cartopy.feature
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types