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[python #HRU-164778]: Query about compositing on a feature

Hi,

I think that error is caused by some weirdness currently when it tries to store 
the unit-ed array inside the DataArray. Try passing `wspd.magnitude` or 
`wspd.m` when creating the new DataArray.

Ryan

> Hi,
> That is great and appears to be doing exactly what I want!
> Thanks for coming up with such a simple solution. I had started coding
> something really messy!
> 
> One quick question on another of the modules:
> 
> I use mpcalc.wind_speed to calculate the wind speed from U and V xarrays.
> U and V have associated dimensions (lev, lat, lon), and I would like for my
> final wind speed array to have these same values. I therefore try to create
> an xarray using xr.DataArray and parsing the data and dimensions. However,
> I keep on getting the error:
> 
> #####################################
> 
> Traceback (most recent call last):
> 
> File "<ipython-input-154-738cfef1e779>", line 1, in <module>
> wspdxr = xr.DataArray(data=wspd, dims=["lev", "lat", "lon"],
> coords=[lev.values,lat.values,lon.values])
> 
> File
> "/apps/Anaconda/anaconda3/lib/python3.7/site-packages/xarray/core/dataarray.py",
> line 369, in __init__
> data = as_compatible_data(data)
> 
> File
> "/apps/Anaconda/anaconda3/lib/python3.7/site-packages/xarray/core/variable.py",
> line 215, in as_compatible_data
> "Got an NumPy-like array type providing the "
> 
> TypeError: Got an NumPy-like array type providing the __array_function__
> protocol but NEP18 is not enabled. Check that numpy >= v1.16 and that the
> environment variable "NUMPY_EXPERIMENTAL_ARRAY_FUNCTION" is set to "1"
> 
> ###############################################
> 
> I have asked the IT guy in our department about this and even if I specify
> the environment, I still get the same error.
> Do you know a work around?
> I have also tried to copy the 'U' xarray and overwrite the .values with the
> windspeed values, but this does not work either.
> I am sure there must be a simple solution?
> 
> 
> 
> ##### My code ##########
> 
> lev=drop_all[YYYY]['IOP'+IOP]['U'].lev
> lon=drop_all[YYYY]['IOP'+IOP]['U'].lon
> lat=drop_all[YYYY]['IOP'+IOP]['U'].lat
> 
> for i in range(len(drop_all['years'])):
> YYYY=drop_all['years'][i]
> for j in range(len(drop_all[YYYY]['IOPs'])) :
> IOP = drop_all[YYYY]['IOPs'][j]
> print (YYYY, IOP)
> # drop_all[YYYY]['IOP'+IOP]['wspd']={}  * units.meter / units.second
> wspd=mpcalc.wind_speed(drop_all[YYYY]['IOP'+IOP]['U'].values*
> units.meter / units.second, drop_all[YYYY]['IOP'+IOP]['V'].values*
> units.meter / units.second)
> ## write windspeed as proper xarray - needs all additional info
> wspdxr = xr.DataArray(data=wspd, dims=["lev", "lat", "lon"],
> coords=[lev.values,lat.values,lon.values])
> wspdxr = xr.DataArray(data=wspd, dims=["lev", "lat", "lon"],
> coords=[lev,lat,lon])


Ticket Details
===================
Ticket ID: HRU-164778
Department: Support Python
Priority: Low
Status: Closed
===================
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