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- How to avoid the auto convert variable dtype from float32 to float64 when read netCDF file use open_dataset? · 3 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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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 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 You can disable the scaling by writing |
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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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