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  • HasanAhmadQ7 · 3 ✖

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  • open_mfdataset fails on variable attributes with 'list' type · 3 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
517919790 https://github.com/pydata/xarray/issues/3034#issuecomment-517919790 https://api.github.com/repos/pydata/xarray/issues/3034 MDEyOklzc3VlQ29tbWVudDUxNzkxOTc5MA== HasanAhmadQ7 32473508 2019-08-03T12:08:05Z 2019-08-03T12:08:05Z CONTRIBUTOR

@jfpiolle Thank you very much for the clarification

 
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   open_mfdataset fails on variable attributes with 'list' type 457874038
515654610 https://github.com/pydata/xarray/issues/3034#issuecomment-515654610 https://api.github.com/repos/pydata/xarray/issues/3034 MDEyOklzc3VlQ29tbWVudDUxNTY1NDYxMA== HasanAhmadQ7 32473508 2019-07-27T05:41:59Z 2019-07-27T08:15:07Z CONTRIBUTOR

@jfpiolle Would you please share the files, or the code generating them?

As far as I understand we cannot have an attribute of type list. The closest thing I can think of is a variable length type as below

from netCDF4 import Dataset f = Dataset("example.nc","w") vlen_t = f.createVLType(numpy.int32, "phony_vlen") x = f.createDimension("x",3) y = f.createDimension("y",4) vlvar = f.createVariable("phony_vlen_var", vlen_t, ("y","x")) data =[] for n in range(0, len(x)*len(y)): data.append(numpy.arange(random.randint(1,10),dtype="int32")) data = numpy.reshape(data,(len(y),len(x))) vlvar[:] = data f.close() Using files generated this way, I did not get an error using mf_dataset. 

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   open_mfdataset fails on variable attributes with 'list' type 457874038
514049445 https://github.com/pydata/xarray/issues/3034#issuecomment-514049445 https://api.github.com/repos/pydata/xarray/issues/3034 MDEyOklzc3VlQ29tbWVudDUxNDA0OTQ0NQ== HasanAhmadQ7 32473508 2019-07-23T04:28:58Z 2019-07-23T04:28:58Z CONTRIBUTOR

I will handle this issue this Saturday if no one else handle it by then.

 
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   open_mfdataset fails on variable attributes with 'list' type 457874038

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