issue_comments: 107806428

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https://github.com/pydata/xarray/issues/416#issuecomment-107806428 https://api.github.com/repos/pydata/xarray/issues/416 107806428 MDEyOklzc3VlQ29tbWVudDEwNzgwNjQyOA== 4365718 2015-06-02T04:56:35Z 2015-06-02T04:56:35Z NONE

Thanks for posting, Stephan! I'm interested in assisting with a possible enhancement! Here's a quick wrapper I wrote to deal with this issue in my code:

python def wrap_open_dataset(fname, verbose=False): """ Forces switch to native endianness when dataset is read in so that endian-dependent functions (e.g., nanmin from bottleneck) will always work. Note that ec2 and my mac are little endian, but only ec2 was broken with a "ValueError: Big-endian buffer not supported on little-endian compiler." """ ds = xray.open_dataset(fname) all_vars = ds.coords.keys() + ds.data_vars.keys() dilist = [] for kk in all_vars: di = ds[kk].dtype dnew = di.newbyteorder('N') ds[kk].values = ds[kk].values.astype(dnew, casting='equiv', copy=False) df = ds[kk].dtype if verbose is True: dilist.append(di) if verbose is True: for kk, di in zip(all_vars, dilist): df = ds[kk].dtype print 'converted', di, 'to', df return ds

 
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