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- Support non-string dimension/variable names · 5 ✖
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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979759002 | https://github.com/pydata/xarray/issues/2292#issuecomment-979759002 | https://api.github.com/repos/pydata/xarray/issues/2292 | IC_kwDOAMm_X846Ze-a | derhintze 25172489 | 2021-11-26T07:48:21Z | 2021-11-26T07:52:42Z | NONE | Would like to chime in that we use a similar approach as in the last comment of @DerWeh . But we extend this by overloading the ``` class Dimension(str, enum.Enum): """Base class for all dimension enums
``` Using this the xarray output is more consistent: ```
We then have deserialization code, that re-creates enum members when reading NetCDF files with corresponding dimensions (and coordinates). Access to coordinates works with enum members as well as their string value. |
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Support non-string dimension/variable names 341643235 | |
722565840 | https://github.com/pydata/xarray/issues/2292#issuecomment-722565840 | https://api.github.com/repos/pydata/xarray/issues/2292 | MDEyOklzc3VlQ29tbWVudDcyMjU2NTg0MA== | DerWeh 22542812 | 2020-11-05T18:41:24Z | 2020-11-05T18:41:24Z | NONE | I just came along this question as I tried something similar to @joshburkart. Using a string-enum instead, the code works in principle: ```python import enum import numpy as np import pandas as pd import xarray as xr class CoordId(str, enum.Enum): LAT = 'lat' LON = 'lon' pd.DataFrame({CoordId.LAT: [1,2,3]}).to_csv() Returns: ',CoordId.LAT\n0,1\n1,2\n2,3\n'xr.DataArray( data=np.arange(3 * 2).reshape(3, 2), coords={CoordId.LAT: [1, 2, 3], CoordId.LON: [7, 8]}, dims=[CoordId.LAT, CoordId.LON], ) output<xarray.DataArray (lat: 3, lon: 2)>array([[0, 1],[2, 3],[4, 5]])Coordinates:* lat (CoordId.LAT) int64 1 2 3* lon (CoordId.LON) int64 7 8``` We however got somewhat ambivalent results, that the dimensions are still enum elements |
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Support non-string dimension/variable names 341643235 | |
406617353 | https://github.com/pydata/xarray/issues/2292#issuecomment-406617353 | https://api.github.com/repos/pydata/xarray/issues/2292 | MDEyOklzc3VlQ29tbWVudDQwNjYxNzM1Mw== | joshburkart 3888181 | 2018-07-20T14:28:07Z | 2018-07-20T14:28:07Z | NONE | Just to clarify @shoyer, you said (2) sounds best to you, but your other comments (e.g. duck typing, requiring hashable) seem to describe (1)...? Slightly confused... |
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Support non-string dimension/variable names 341643235 | |
406356945 | https://github.com/pydata/xarray/issues/2292#issuecomment-406356945 | https://api.github.com/repos/pydata/xarray/issues/2292 | MDEyOklzc3VlQ29tbWVudDQwNjM1Njk0NQ== | joshburkart 3888181 | 2018-07-19T17:37:34Z | 2018-07-19T17:37:34Z | NONE | Some options that come to mind:
I dunno. Whatever the maintainers think is best? (3) seems least complex on the |
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Support non-string dimension/variable names 341643235 | |
405380136 | https://github.com/pydata/xarray/issues/2292#issuecomment-405380136 | https://api.github.com/repos/pydata/xarray/issues/2292 | MDEyOklzc3VlQ29tbWVudDQwNTM4MDEzNg== | joshburkart 3888181 | 2018-07-16T20:59:13Z | 2018-07-16T20:59:13Z | NONE | Thanks @shoyer. I'll see if I can take a look in the near future... |
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Support non-string dimension/variable names 341643235 |
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