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  • Creation of an empty DataArray · 2 ✖

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  • CONTRIBUTOR · 2 ✖
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275979038 https://github.com/pydata/xarray/issues/277#issuecomment-275979038 https://api.github.com/repos/pydata/xarray/issues/277 MDEyOklzc3VlQ29tbWVudDI3NTk3OTAzOA== jklymak 1562854 2017-01-30T04:42:12Z 2017-01-30T04:42:12Z CONTRIBUTOR

OK, great! I figured it out. Something like the below works; @rabernat had pointed to a similar solution, but I didn't quite understand what dask.array.map_blocks was doing.

``` import xmitgcm import xarray as xr data = xmitgcm.open_mdsdataset(dirname='./',prefix={'T'},iters=12600,read_grid=True,geometry='cartesian',endian='<', chunks={'Z':1,'time':1})

def interpolateAtDepth(T,x0,y0,x,y): import scipy.interpolate if np.shape(T)[-1]>1: xout=np.zeros((1,1,ny,nx))
fit=scipy.interpolate.RectBivariateSpline(x0,y0,T[0,0,:,:].T) xout = fit(x,y).T else: xout=np.ones((1,1,1,1)) return xout

x, y, nx, ny are determined elsewhere, but set the new grid...

tm = data['T'].data.map_blocks(interpolateAtDepth,data['XC'].values,data['YC'].values,x,y,chunks=(1,1,ny,nx)) ```

 
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   Creation of an empty DataArray 48301141
275776968 https://github.com/pydata/xarray/issues/277#issuecomment-275776968 https://api.github.com/repos/pydata/xarray/issues/277 MDEyOklzc3VlQ29tbWVudDI3NTc3Njk2OA== jklymak 1562854 2017-01-27T21:17:57Z 2017-01-27T21:17:57Z CONTRIBUTOR

Given the dask integration, being able to initialize DataArrays that are chunked would be very helpful. I want to map from an old x-y-z grid to a new one, and theoretically it could be too memory intensive to keep the new grid in memory, so it would be nice to initialize an empty one and then fill it. 

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   Creation of an empty DataArray 48301141

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