issue_comments: 373794415

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https://github.com/pydata/xarray/issues/1981#issuecomment-373794415 https://api.github.com/repos/pydata/xarray/issues/1981 373794415 MDEyOklzc3VlQ29tbWVudDM3Mzc5NDQxNQ== 6181563 2018-03-16T17:53:44Z 2018-03-16T17:53:44Z CONTRIBUTOR

For what's worth, this is exactly the workflow I use (https://github.com/OceansAus/cosima-cookbook) when opening a large number of netCDF files:

    bag = dask.bag.from_sequence(ncfiles)

    load_variable = lambda ncfile: xr.open_dataset(ncfile, 
                       chunks=chunks, 
                       decode_times=False)[variables]

    bag = bag.map(load_variable)

    dataarrays = bag.compute()

and then

dataarray = xr.concat(dataarrays,
                      dim='time', coords='all', )

and it appears to work well.

Code snippets from cosima-cookbook/cosima_cookbook/netcdf_index.py

 
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