请教关于matplotlib出图不全的问题

亚健康专家

import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import cartopy.feature as cfeature
import cartopy.mpl.ticker as cticker
import matplotlib.path as path
from cartopy.mpl.patch import geos_to_path

fig = plt.figure(figsize=(12,9))
proj = ccrs.PlateCarree()
leftlon,rightlon,lowerlat,upperlat = (73,135,3,53)
img_extent =[leftlon,rightlon,lowerlat,upperlat]

ax = fig.add_axes([0.1,0.1,0.8,0.6],projection = proj)
ax.set_extent(img_extent,crs =ccrs.PlateCarree())

ax.set_title("ERA5 monthly data on single levels from 2012 to 2021",fontsize=18)
ax.set_xlabel("Longitude",fontsize=14)
ax.set_ylabel("Latitude",fontsize=14)
ax.set_xticks(np.arange(leftlon,rightlon,10),crs=ccrs.PlateCarree())
ax.set_yticks(np.arange(lowerlat,upperlat,10),crs=ccrs.PlateCarree())
lon_formatter = cticker.LongitudeFormatter()
lat_formatter = cticker.LatitudeFormatter()
ax.xaxis.set_major_formatter(lon_formatter)
ax.yaxis.set_major_formatter(lat_formatter)
position =fig.add_axes([0.72,0.1,0.015,0.6])#(分别是横坐标位置，纵坐标位置，色标宽度，色标长度）
c1 =ax.contourf(lons,lats,final,levels =np.arange(2,2.5,0.05),extend='both',cmap =plt.cm.Purples,transform=ccrs.PlateCarree())
fig.colorbar(c1,cax=position,orientation='vertical')
ax.add_feature(cfeature.COASTLINE,zorder=1)
#白化中国以外
shp = gpd.read_file(r'bou2_4l.shp',encoding='gbk')
# print(shp)
# 生成裁剪路径
path_clip = path.Path.make_compound_path(*geos_to_path(shp['geometry'].to_list()))
# 将裁剪路径应用到图层
[collection.set_clip_path(path_clip, transform=ax.transData) for collection in c1.collections]
# 绘制多边形边缘线
ax.add_geometries(shp['geometry'], crs=ccrs.PlateCarree(), facecolor='none', edgecolor='black')

plt.show()我用的是PyCharm，学姐用的是Python但我认为应该没有太大区别希望能有大佬指点迷津

飘散的梦

顺序问题吧

亚健康专家

昨天请教了一下大佬，结果是需要跟白化的shp文件里面的编号对上，我之前用的是中国各省轮廓图，这次换了一个shp文件（为中国国家轮廓），可以正常出图了