issue_comments

Table actions

3 rows where author_association = "MEMBER", issue = 942738904 and user = 5821660 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

  • kmuehlbauer · 3 ✖

issue 1

  • Decoding netCDF is giving incorrect values for a large file · 3 ✖

author_association 1

  • MEMBER · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1492937244 https://github.com/pydata/xarray/issues/5597#issuecomment-1492937244 https://api.github.com/repos/pydata/xarray/issues/5597 IC_kwDOAMm_X85Y_Goc kmuehlbauer 5821660 2023-04-01T11:03:02Z 2023-04-01T11:03:02Z MEMBER

To fix this, I think logic in _choose_float_dtype should be updated to look at encoding['dtype'] (if available) instead of dtype, in order to understand how the data was originally stored.

This is aimed at in #7654

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Decoding netCDF is giving incorrect values for a large file 942738904
878914016 https://github.com/pydata/xarray/issues/5597#issuecomment-878914016 https://api.github.com/repos/pydata/xarray/issues/5597 MDEyOklzc3VlQ29tbWVudDg3ODkxNDAxNg== kmuehlbauer 5821660 2021-07-13T09:07:14Z 2021-07-13T09:07:14Z MEMBER

@ohsqueezy You might also try engine="h5netcdf (h5py/h5netcdf packages needed). And would it be possible create a small subset of that file via netCDF4 to share?

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Decoding netCDF is giving incorrect values for a large file 942738904
878830308 https://github.com/pydata/xarray/issues/5597#issuecomment-878830308 https://api.github.com/repos/pydata/xarray/issues/5597 MDEyOklzc3VlQ29tbWVudDg3ODgzMDMwOA== kmuehlbauer 5821660 2021-07-13T06:58:24Z 2021-07-13T06:58:24Z MEMBER

@ohsqueezy Does this issue also show up, if just plain netCDF4 is used to open the files?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Decoding netCDF is giving incorrect values for a large file 942738904

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]);