issue_comments

Table actions

1 row where author_association = "MEMBER" and issue = 368833116 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

issue 1

  • masked_array write/read differences between xarray and netCDF4 · 1 ✖

author_association 1

  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1527527029 https://github.com/pydata/xarray/issues/2478#issuecomment-1527527029 https://api.github.com/repos/pydata/xarray/issues/2478 IC_kwDOAMm_X85bDDZ1 kmuehlbauer 5821660 2023-04-28T12:59:04Z 2023-04-28T15:46:09Z MEMBER

@sbiner Sorry for the massive delay here. It doesn't have changed much since creation of your issue. Xarray doesn't take the netcdf default fill values into account (there are reasons, which @shoyer has explained in https://github.com/pydata/xarray/pull/5680#issuecomment-895455163 and https://github.com/pydata/xarray/pull/5680#issuecomment-895508489).

On write it just uses NaN as _FillValue (in case no specific encoding is given).

Xref: #2374, #7723, #5680

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   masked_array write/read differences between xarray and netCDF4 368833116

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]);