issue_comments: 480475645

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https://github.com/pydata/xarray/issues/2871#issuecomment-480475645 https://api.github.com/repos/pydata/xarray/issues/2871 480475645 MDEyOklzc3VlQ29tbWVudDQ4MDQ3NTY0NQ== 40218891 2019-04-06T05:24:52Z 2019-04-06T05:24:52Z NONE

Indeed it works. Thanks. My quick fix: $ diff variables.py variables.py.orig 152,155d151 < elif encoding.get('missing_value') is not None: < fill_value = pop_to(encoding, attrs, 'missing_value', name=name) < if not pd.isnull(fill_value): < data = duck_array_ops.fillna(data, fill_value) I also figured out how to write back floating point values: encoding=None means use existing values, so specifying encoding={'tmpk': {}} in to_netcdf() did the trick. Should there be an option for this? What you see on the screen is not what you get in the file.

 
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