Masking a NetCDF file 2D lat/lon with a shapefile in Python

Question

I am trying to mask a NetCDF file with an shapefile. Here is my shapefile:

Africa_Shape = geopandas.read_file('/content/gdrive/MyDrive/HighresMIP/control_1950/iho/iho.shp', crs="epsg:4326")

And here is my NetCDF file (MSWEP_monthly) structure and the procedure that I am following to clip the original dataset

And my results are all the values nan.

Answer 1

https://github.com/corteva/rioxarray/issues/202

Simplest method:

min_x, min_y, max_x, max_y = Africa_Shape.total_bounds
xds_clipped  = xds.where((xds.lon<=max_x) & (xds.lon>=min_x) & (xds.lat<=max_y) & (xds.lat>=min_y), drop=True)

But, I would recommend looking into xoak