issue_comments

Table actions

1 row where issue = 233350060 and user = 67558326 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

user 1

  • lskopintseva · 1 ✖

issue 1

  • If a NetCDF file is chunked on disk, open it with compatible dask chunks · 1 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1466954335 https://github.com/pydata/xarray/issues/1440#issuecomment-1466954335 https://api.github.com/repos/pydata/xarray/issues/1440 IC_kwDOAMm_X85Xb_Jf lskopintseva 67558326 2023-03-13T21:04:01Z 2023-03-13T21:04:01Z NONE

I have a netCDF file where variables are saved on the disk in chunks and I would like to read my netcdf file using xr.open_dataset in original chunks. I there a way to do it in xarray? Since xarray is built in netCDF4 library, I would expect this feature to be present in xarray as well.. 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   If a NetCDF file is chunked on disk, open it with compatible dask chunks 233350060

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

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]);