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  • Support for netcdf4/hdf5 compression · 1 ✖

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  • CONTRIBUTOR · 1 ✖
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134420461 https://github.com/pydata/xarray/issues/548#issuecomment-134420461 https://api.github.com/repos/pydata/xarray/issues/548 MDEyOklzc3VlQ29tbWVudDEzNDQyMDQ2MQ== aidanheerdegen 6063709 2015-08-25T00:05:40Z 2015-08-25T04:09:18Z CONTRIBUTOR

Brilliant. Thanks. I looked into the code but thought the encoding information was being stripped out.

So I've confirmed xray will round-trip fine. Shallow copies also round trip. Similarly making a new dataset from a variable with encoding information preserves that information and will output properly.

``` python % tmp = xray.open_dataset('saved_on_disk_compressed.nc') % tmp <xray.Dataset> Dimensions: (time: 3, x: 2, y: 2) Coordinates: reference_time datetime64[ns] 2014-09-05 lon (x, y) float64 -99.83 -99.32 -99.79 -99.23 * time (time) datetime64[ns] 2014-09-06 2014-09-07 2014-09-08 lat (x, y) float64 42.25 42.21 42.63 42.59 * x (x) int64 0 1 * y (y) int64 0 1 Data variables: temperature (x, y, time) float64 10.66 8.539 6.713 8.519 29.07 27.86 ... precipitation (x, y, time) float64 0.3385 6.773 8.985 0.9651 0.1359 ...

% tmp.temperature.encoding {'chunksizes': (2, 2, 3), 'complevel': 5, 'contiguous': False, 'dtype': dtype('float64'), 'fletcher32': False, 'shuffle': True, 'source': 'saved_on_disk_compressed.nc', 'zlib': True}

% tmp2 = tmp % tmp2.to_netcdf('saved_on_disk_comp_tmp2.nc') % tmp3 = xray.open_dataset('saved_on_disk_comp_tmp2.nc') % tmp3.temperature.encoding {'chunksizes': (2, 2, 3), 'complevel': 5, 'contiguous': False, 'dtype': dtype('float64'), 'fletcher32': False, 'shuffle': True, 'source': 'saved_on_disk_comp_xray.nc', 'zlib': True} ```

Setting encoding dictionary works fine too (in this case copying from an existing variable):

python % tmp4 = xray.DataArray(tmp.temperature.values).to_dataset(name='temperature') % tmp4.temperature.encoding {} % tmp4.temperature.encoding = tmp.temperature.encoding % tmp4.temperature.encoding {'chunksizes': (2, 2, 3), 'complevel': 5, 'contiguous': False, 'dtype': dtype('float64'), 'fletcher32': False, 'shuffle': True, 'source': 'saved_on_disk_compressed.nc', 'zlib': True} % tmp4.to_netcdf('saved_on_disk_comp_tmp4.nc') % tmp5 = xray.open_dataset('saved_on_disk_comp_tmp4.nc') % tmp.temperature.encoding {'chunksizes': (2, 2, 3), 'complevel': 5, 'contiguous': False, 'dtype': dtype('float64'), 'fletcher32': False, 'shuffle': True, 'source': 'saved_on_disk_compressed.nc', 'zlib': True}

That will do nicely. Thanks.

 
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   Support for netcdf4/hdf5 compression 102703065

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