ax.add_feature(states_provinces, edgecolor='k',linewidth= 0.6, zorder= 2)ax.add_feature(cfeature.COASTLINE.with_scale('50m'), linewidth= 0.6, zorder= 2)ax.add_feature(cfeature.BORDERS, linestyle='-',linewidth= 1,zorder= 2)##设置网格属性ax.set_xticks([105,110,115,120,125])ax.set_...
fig=plt.figure(figsize=(8,6),dpi=500)ax=fig.add_subplot(1,1,1,projection=ccrs.PlateCarree())ax.coastlines()#添加海岸线 ax.add_feature(cfeat.LAND)#添加陆地 gl=ax.gridlines(crs=ccrs.PlateCarree(),draw_labels=True,linewidth=0.7,color='k',alpha=1,linestyle='--')gl.xlabels_top=False...
ax.add_feature(provinces, linewidth=0.6, zorder=1) ax.add_feature(line, linewidth=0.6, zorder=1) ax.add_feature(cfeat.RIVERS.with_scale('110m'), linewidth=0.5, zorder=1) ax.add_feature(cfeat.LAKES.with_scale('110m'), linewidth=0.5, zorder=1) gl = ax.gridlines( crs = ccrs.Plate...
figure(figsize=(10, 5)) ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree()) ax.add_feature(cartopy.feature.OCEAN) ax.add_feature(cartopy.feature.LAND, edgecolor='black') ax.add_feature(cartopy.feature.COASTLINE) ax.set_title('世界地图') plt.show() 在这个例子中,我们使用了Ma...
ax.add_feature(cartopy.feature.LAND)# 画圆所需圆框 theta=np.linspace(0,2*np.pi,100)center,radius=[0.5,0.5],0.5verts=np.vstack([np.sin(theta),np.cos(theta)]).Tcircle=mpath.Path(verts*radius+center)ax.set_boundary(circle,transform=ax.transAxes)# 经纬网格 ...
add_feature(enshicity, linewidth=0.7)#添加市界细节 ax.set_extent(extent, crs=proj) 通过plt.show()语句展示绘制出来的图像: 在添加地理信息时,还有两个参数——edgecolor和facecolor,这两个参数直接控制展示出来的图形框线和填充颜色: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 enshicity = cf...
)ax.add_feature(cfeature.BORDERS)xtick=np.arange(extents[0],extents[1],5)ytick=np.arange(extents[2],extents[3],5)ax.coastlines()tick_proj=ccrs.PlateCarree()c=ax.contourf(lon_target,lat_target,eof[i],transform=ccrs.PlateCarree(),levels=level,extend='both',cmap=cmap)ax.set_xticks(x...
ax.add_feature(cfeature.RIVERS) ax.scatter( x=lat_and_lon[:, 1][species_train==0], y=lat_and_lon[:, 0][species_train==0], c='green' if i == 0 else 'red', cmap='rainbow', edgecolor='k', alpha=0.1 ) ax.set_title(f'{species_names[i]}分布') ...
ax=plt.axes(projection=ccrs.PlateCarree(central_longitude=0)) 1 在设置好绘制类型后,绘制地图各特征量。其代码如下: #ax.add_feature(cfeature.LAKES.with_scale(scale))ax.add_feature(cfeature.OCEAN.with_scale(scale))#ax.add_feature(cfeature.RIVERS.with_scale(scale))#ax.add_feature(cfeature.LAN...
ax.coastlines() ax.add_feature(cartopy.feature.LAND) “` (4)展示地图: “`python # 展示地图 plt.show() “` Cartopy的优势在于它能够直接处理地理数据,比如矢量文件、栅格文件等,同时还可以根据需要选择合适的地图投影方式。 除了上述两种常用的软件包外,还有其他一些可用于绘制地图的Python软件包,如Folium、...