issue_comments: 1061651626

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https://github.com/pydata/xarray/issues/6329#issuecomment-1061651626 https://api.github.com/repos/pydata/xarray/issues/6329 1061651626 IC_kwDOAMm_X84_R4Sq 9576982 2022-03-08T10:55:50Z 2022-03-08T10:55:50Z NONE

Ok sorry for the different mistakes, I wrote that in a hurry. Strangely enough this has a different behaviour but it crashes too. ``` python import xarray as xr from rasterio.enums import Resampling import numpy as np

def init_coord(ds): ''' To have the geometry right''' arr_r=some_processing(ds.isel(time=slice(0,1))) return arr_r.x.values, arr_r.y.values

def some_processing(arr): ''' A reprojection routine''' arr = arr.rio.write_crs('EPSG:4326') arr_r = arr.rio.reproject('EPSG:3857', shape=(250, 250), resampling=Resampling.bilinear, nodata=np.nan) return arr_r

filename='processed_dataset.zarr' ds = xr.tutorial.open_dataset('air_temperature') x,y=init_coord(ds) ds_to_write=xr.Dataset(coords={'time':('time',ds.time.values),'x':('x', x),'y':('y',y)}) ds_to_write.to_zarr(filename, compute=False, encoding={"time": {"chunks": [1]}}) for i in range(len(ds.time)): # some kind of heavy processing arr_r=some_processing(ds.isel(time=slice(i,i+1))) buff= arr_r.drop(['spatial_ref','x','y']).chunk({'time':1,'x':250,'y':250}) buff.to_zarr(filename, mode='a', region={'time':slice(i,i+1)}) ```

With error:

ValueError: fill_value nan is not valid for dtype int16; nested exception: cannot convert float NaN to integer

but the output of buff is:

ie. it contains only floats

 
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