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  • How to avoid the auto convert variable dtype from float32 to float64 when read netCDF file use open_dataset? · 3 ✖

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377060897 https://github.com/pydata/xarray/issues/1008#issuecomment-377060897 https://api.github.com/repos/pydata/xarray/issues/1008 MDEyOklzc3VlQ29tbWVudDM3NzA2MDg5Nw== shoyer 1217238 2018-03-28T22:37:00Z 2018-03-28T22:37:00Z MEMBER

Yes, this was fixed by @Zac-HD in https://github.com/pydata/xarray/pull/1840

 
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   How to avoid the auto convert variable dtype from float32 to float64 when read netCDF file use open_dataset? 177754433
248171030 https://github.com/pydata/xarray/issues/1008#issuecomment-248171030 https://api.github.com/repos/pydata/xarray/issues/1008 MDEyOklzc3VlQ29tbWVudDI0ODE3MTAzMA== shoyer 1217238 2016-09-20T00:48:01Z 2016-09-20T00:48:01Z MEMBER

OK, that makes sense. I agree, we could keep such arrays as float32. We don't need to guard against overflow when only decoding a _FillValue.

If you're interested in taking a look at a fix, this is where the current logic is: https://github.com/pydata/xarray/blob/551a7bca7b42a6d6db976b01d2eee1131735785d/xarray/conventions.py#L795-L802

 
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   How to avoid the auto convert variable dtype from float32 to float64 when read netCDF file use open_dataset? 177754433
248041752 https://github.com/pydata/xarray/issues/1008#issuecomment-248041752 https://api.github.com/repos/pydata/xarray/issues/1008 MDEyOklzc3VlQ29tbWVudDI0ODA0MTc1Mg== shoyer 1217238 2016-09-19T16:22:02Z 2016-09-19T16:22:02Z MEMBER

Some of your variables probably have scale_factor or add_offset attributes. To avoid overflow, xarray converts such variables to float64 when scaling.

You can disable the scaling by writing xr.open_dataset('cat.20151003200633.nc', mask_and_scale=False)

 
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   How to avoid the auto convert variable dtype from float32 to float64 when read netCDF file use open_dataset? 177754433

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