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- HDF Errors since xarray 0.11 · 4 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 437707951 | https://github.com/pydata/xarray/issues/2551#issuecomment-437707951 | https://api.github.com/repos/pydata/xarray/issues/2551 | MDEyOklzc3VlQ29tbWVudDQzNzcwNzk1MQ== | fmaussion 10050469 | 2018-11-11T21:46:02Z | 2018-11-11T21:46:02Z | MEMBER |
If so, how does the dataset access the data if the file is closed? Shouldn't it raise an error instead? |
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HDF Errors since xarray 0.11 379177627 | |
| 437705060 | https://github.com/pydata/xarray/issues/2551#issuecomment-437705060 | https://api.github.com/repos/pydata/xarray/issues/2551 | MDEyOklzc3VlQ29tbWVudDQzNzcwNTA2MA== | fmaussion 10050469 | 2018-11-11T21:08:13Z | 2018-11-11T21:08:13Z | MEMBER | Actually I have to ask: why is it possible to to an operation on a closed dataset? What is happening under the hood which creates this error and wasn't earlier? |
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HDF Errors since xarray 0.11 379177627 | |
| 437664983 | https://github.com/pydata/xarray/issues/2551#issuecomment-437664983 | https://api.github.com/repos/pydata/xarray/issues/2551 | MDEyOklzc3VlQ29tbWVudDQzNzY2NDk4Mw== | fmaussion 10050469 | 2018-11-11T12:10:36Z | 2018-11-11T12:10:36Z | MEMBER |
No, the exact same piece of code works without error with xarray prev 0.11. Closing this now! |
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HDF Errors since xarray 0.11 379177627 | |
| 437574599 | https://github.com/pydata/xarray/issues/2551#issuecomment-437574599 | https://api.github.com/repos/pydata/xarray/issues/2551 | MDEyOklzc3VlQ29tbWVudDQzNzU3NDU5OQ== | fmaussion 10050469 | 2018-11-10T10:39:09Z | 2018-11-10T10:40:35Z | MEMBER |
I should be better placed than anyone to anticipate and test more frequently on master :roll_eyes: So this reproduces the problem on my machine and travis. Note the misplaced computation out of the ```python import xarray as xr import numpy as np import netCDF4 import os try: os.remove('test.nc') except OSError: pass thick = np.zeros((180, 200), np.float32) ds = xr.Dataset() ds['thick'] = (('y', 'x'), thick) ds.to_netcdf('test.nc') with xr.open_dataset('test.nc') as ds: dummy = ds.thick.isel(x=('z', [1, 3, 4]), y=('z', [7, 2, 1])) dummy.min() # this is the issue with netCDF4.Dataset('test.nc', 'a') as nc:
nc.variables['thick'][:] = thick I guess this was actually a bug in our code, but for some reason it worked fine with earlier xarray versions. I'm not sure if this requires action on the xarray side in the end... |
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HDF Errors since xarray 0.11 379177627 |
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