Python 如何表达两种类型的cartopy轮廓

我想用8（2x4）张图片同时表达4个捆绑包中的2张图片

此外，我想分别代表两个不同的子地块，分别是cartopy的NorthPolarStereo和PlateCarree

还有一点，我想制作最右边每一行的代表性色条

这是我的代码请帮我这个困扰我

fig, (ax1,ax2,ax3,ax4) = plt.subplots( ncols=4, figsize=(16,6), 
subplot_kw=dict(projection=ccrs.NorthPolarStereo()))

p1 = ax1.contourf(lon,lat, row1[0], levels=p_lvs, cmap='jet', extend='both',transform=ccrs.PlateCarree())
ax1.set_title(title1[0])
ax1.set_extent([-180,180, 40,90], ccrs.PlateCarree())

p2 = ax2.contourf(lon,lat, row1[1], levels=p_lvs, cmap='jet', extend='both',      transform=ccrs.PlateCarree())
ax2.set_title(title1[1])
ax2.set_extent([-180,180, 40,90], ccrs.PlateCarree())

p3 = ax3.contourf(lon,lat, row1[2], levels=p_lvs, cmap='jet', extend='both', transform=ccrs.PlateCarree())
ax3.set_title(title1[2])
ax3.set_extent([-180,180, 40,90], ccrs.PlateCarree())

p4 = ax4.contourf(lon,lat, row1[3], levels=p_lvs, cmap='jet', extend='both', transform=ccrs.PlateCarree())
ax4.set_title(title1[3])
ax4.set_extent([-180,180, 40,90], ccrs.PlateCarree())

# =====================================

fig2, (ax5,ax6,ax7,ax8) = plt.subplots(ncols=4, figsize=(16,6),subplot_kw=dict(projection=ccrs.PlateCarree()))

p5 = ax5.contourf(lon,olr_lat, row2[0], levels=o_lvs, cmap='jet', extend='both')
ax5.set_title(title2[0])
ax5.set_extent([-180,180, -90,90], ccrs.PlateCarree())

p6 = ax6.contourf(lon,olr_lat, row2[1], levels=o_lvs, cmap='jet', extend='both')
ax6.set_title(title2[1])
ax6.set_extent([-180,180, -90,90], ccrs.PlateCarree())

p7 = ax7.contourf(lon,olr_lat, row2[2], levels=o_lvs, cmap='jet', extend='both')
ax7.set_title(title2[0])
ax7.set_extent([-180,180, -90,90], ccrs.PlateCarree())

p8 = ax8.contourf(lon,olr_lat, row2[3], levels=o_lvs, cmap='jet', extend='both')
ax8.set_title(title2[0])
ax8.set_extent([-180,180, -90,90], ccrs.PlateCarree())

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你目前的状况如何？你面临什么问题？