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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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554600952 | https://github.com/pydata/xarray/issues/1739#issuecomment-554600952 | https://api.github.com/repos/pydata/xarray/issues/1739 | MDEyOklzc3VlQ29tbWVudDU1NDYwMDk1Mg== | max-sixty 5635139 | 2019-11-16T03:48:19Z | 2019-11-16T03:48:19Z | MEMBER | OK great. We can meditate on it for a while, no great rush! Thanks for engaging. |
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Utility to restore original dimension order after apply_ufunc 276241764 | |
554592920 | https://github.com/pydata/xarray/issues/1739#issuecomment-554592920 | https://api.github.com/repos/pydata/xarray/issues/1739 | MDEyOklzc3VlQ29tbWVudDU1NDU5MjkyMA== | max-sixty 5635139 | 2019-11-16T02:01:08Z | 2019-11-16T02:01:08Z | MEMBER |
Agree, I was thinking we'd transpose the second one, but fair if you think too invasive
Ah OK. If we relaxed that, what would the order be? Just the order they were initially added, and so at least consistent through time (though not necessarily with the variables)? |
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Utility to restore original dimension order after apply_ufunc 276241764 | |
554581481 | https://github.com/pydata/xarray/issues/1739#issuecomment-554581481 | https://api.github.com/repos/pydata/xarray/issues/1739 | MDEyOklzc3VlQ29tbWVudDU1NDU4MTQ4MQ== | max-sixty 5635139 | 2019-11-16T00:28:37Z | 2019-11-16T00:28:37Z | MEMBER | What do we think about attempting to enforce a dimension order throughout the dataset? That would solve these issues for free. We already have some order in (Maybe this doesn't need to be strictly enforced, but we'd at least set the expectation that dimensions could be reordered to that dimension order at any time) Or are there uses to having different dimension order throughout a dataset? ```python In [45]: ds Out[45]: <xarray.Dataset> Dimensions: (lat: 25, lon: 53, time: 2920) Coordinates: * lat (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0 * lon (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0 * time (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00 Data variables: air (time, lat, lon) float32 ... Attributes: Conventions: COARDS title: 4x daily NMC reanalysis (1948) description: Data is from NMC initialized reanalysis\n(4x/day). These a... platform: Model references: http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly... In [46]: ds.dims Out[46]: Frozen(SortedKeysDict({'lat': 25, 'time': 2920, 'lon': 53})) In [47]: ds.sizes Out[47]: Frozen(SortedKeysDict({'lat': 25, 'time': 2920, 'lon': 53})) ``` |
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Utility to restore original dimension order after apply_ufunc 276241764 |
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