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- passing unlimited_dims to to_netcdf triggers RuntimeError: NetCDF: Invalid argument · 1 ✖
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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366255764 | https://github.com/pydata/xarray/issues/1849#issuecomment-366255764 | https://api.github.com/repos/pydata/xarray/issues/1849 | MDEyOklzc3VlQ29tbWVudDM2NjI1NTc2NA== | markelg 6883049 | 2018-02-16T14:50:21Z | 2018-02-16T15:10:40Z | CONTRIBUTOR | This happened to me today after introducing some modifications in a code that was working fine. I have tried to trace it without success. Finally, I found a workaround which consist on removing the "contiguous" entry from the .encoding attributes. This works with gerritholl's file:
So it seems that this entry in the encoding dictionaries is triggering the error. OK, so I guess that this explains it, from the netCDF4 documentation: "contiguous: if True (default False), the variable data is stored contiguously on disk. Default False. Setting to True for a variable with an unlimited dimension will trigger an error." This is quite an obscure error right now, so maybe we could force contiguous to be False when unlimited_dims is being used, or either raise a more informative error. |
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passing unlimited_dims to to_netcdf triggers RuntimeError: NetCDF: Invalid argument 290572700 |
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