Comments (1)
I feel like a total moron right now. I turned to the iris method because the standard method did not work. Turns our that when you use netCDF4's Dataset
function, you get the type numpy.ma.core.MaskedArray
. All I had to do to get the standard method to work was to put the array inside np.array()
to convert it into a numpy.marray
as the documentation states it has to be, and it worked.
For anyone wondering exactly how I got it to work, here is my code:
from windspharm.standard import VectorWind
import numpy as np
import netCDF4 as nc
from netCDF4 import Dataset
file = '2020042412_plev_era5.nc'
fh = Dataset(file)
FIX STARTS HERE
u = np.array(fh.variables['u'][:]) #put inside np.array() here
v = np.array(fh.variables['v'][:])
END OF FIX
w = VectorWind(u, v)
uchi, vchi = w.irrotationalcomponent() #Now Works
Not sure why this didn't work when I put the data into iris cubes, but the standard form works.
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