issue_comments

Table actions

6 rows where issue = 1077040836 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

user 4

author_association 2

issue 1

  • DOC: Add "auto" to dataarray `chunk` method · 6 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1004374834 https://github.com/pydata/xarray/pull/6068#issuecomment-1004374834 https://api.github.com/repos/pydata/xarray/issues/6068 IC_kwDOAMm_X8473Ysy Illviljan 14371165 2022-01-03T21:34:45Z 2022-01-03T21:34:45Z MEMBER

Thanks @bzah!

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   DOC: Add "auto" to dataarray `chunk` method 1077040836
991632287 https://github.com/pydata/xarray/pull/6068#issuecomment-991632287 https://api.github.com/repos/pydata/xarray/issues/6068 IC_kwDOAMm_X847Gxuf bzah 16700639 2021-12-11T12:49:15Z 2021-12-11T12:49:15Z CONTRIBUTOR

list type is only used on this handler. Its usage is never documented and it's not even part of dask rechunk api either. It would make sense to deprecate it I guess.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   DOC: Add "auto" to dataarray `chunk` method 1077040836
991628002 https://github.com/pydata/xarray/pull/6068#issuecomment-991628002 https://api.github.com/repos/pydata/xarray/issues/6068 IC_kwDOAMm_X847Gwri keewis 14808389 2021-12-11T12:34:37Z 2021-12-11T12:34:37Z MEMBER

I think for Dataset accepting a list does not make too much sense: what would it do for something like this? python xr.Dataset({ "a": (("x", "y"), [[0, 1], [2, 3], [4, 5]]), "b": (("y", "x"), [[0, 1, 2], [3, 4, 5]]) }).chunk([2, 1]) so if we do want to get it consistent we would probably have to deprecate the list in DataArray.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   DOC: Add "auto" to dataarray `chunk` method 1077040836
991614745 https://github.com/pydata/xarray/pull/6068#issuecomment-991614745 https://api.github.com/repos/pydata/xarray/issues/6068 IC_kwDOAMm_X847GtcZ Illviljan 14371165 2021-12-11T11:51:23Z 2021-12-11T11:51:23Z MEMBER

Someone with more experience will hopefully chime in about that but there was a related discussion about that in #5843.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   DOC: Add "auto" to dataarray `chunk` method 1077040836
991611195 https://github.com/pydata/xarray/pull/6068#issuecomment-991611195 https://api.github.com/repos/pydata/xarray/issues/6068 IC_kwDOAMm_X847Gsk7 bzah 16700639 2021-12-11T11:39:43Z 2021-12-11T11:39:57Z CONTRIBUTOR

I also noticed the Tuples types Tuple[int, ...] and Tuple[Tuple[int, ...], ...], are accepted and handled at DataArray level but are not at Dataset level. The handler is: if isinstance(chunks, (tuple, list)): chunks = dict(zip(self.dims, chunks))

Would it make sense to move this in Dataset to have the same api for both ?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   DOC: Add "auto" to dataarray `chunk` method 1077040836
991307766 https://github.com/pydata/xarray/pull/6068#issuecomment-991307766 https://api.github.com/repos/pydata/xarray/issues/6068 IC_kwDOAMm_X847Fif2 max-sixty 5635139 2021-12-10T21:30:10Z 2021-12-10T21:30:10Z MEMBER

Thanks @bzah !

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   DOC: Add "auto" to dataarray `chunk` method 1077040836

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]);