issue_comments
4 rows where issue = 379177627 and user = 10050469 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- 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? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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! |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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... |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
HDF Errors since xarray 0.11 379177627 |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [issue_comments] ( [html_url] TEXT, [issue_url] TEXT, [id] INTEGER PRIMARY KEY, [node_id] TEXT, [user] INTEGER REFERENCES [users]([id]), [created_at] TEXT, [updated_at] TEXT, [author_association] TEXT, [body] TEXT, [reactions] TEXT, [performed_via_github_app] TEXT, [issue] INTEGER REFERENCES [issues]([id]) ); CREATE INDEX [idx_issue_comments_issue] ON [issue_comments] ([issue]); CREATE INDEX [idx_issue_comments_user] ON [issue_comments] ([user]);
user 1