issue_comments

Table actions

3 rows where author_association = "NONE", issue = 499477363 and user = 24830983 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

  • maboualidev · 3 ✖

issue 1

  • Implement polyfit? · 3 ✖

author_association 1

  • NONE · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
566132726 https://github.com/pydata/xarray/issues/3349#issuecomment-566132726 https://api.github.com/repos/pydata/xarray/issues/3349 MDEyOklzc3VlQ29tbWVudDU2NjEzMjcyNg== maboualidev 24830983 2019-12-16T16:21:18Z 2019-12-16T16:21:18Z NONE

@maboualidev Is your objective to integrate the GeoCat implementation into xarray or keep it standalone ?

GeoCAT is the python version of NCL and we are a team at NCAR working on it. I know that the team decision is to make use of Xarray within GeoCAT as much as possible, though. 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Implement polyfit? 499477363
565738511 https://github.com/pydata/xarray/issues/3349#issuecomment-565738511 https://api.github.com/repos/pydata/xarray/issues/3349 MDEyOklzc3VlQ29tbWVudDU2NTczODUxMQ== maboualidev 24830983 2019-12-14T17:58:34Z 2019-12-14T18:00:08Z NONE

Hi @huard Thanks for the reply.

Regarding:

There does not seem to be matching polyval implementations for any of those nor support for indexing along a time dimension with a non-standard calendar.

There is a pull request on GeoCAT-comp for ndpolyval. I think polyval and polyfit go hand-in-hand. If we have ndpolyfit there must be a also a ndpolyval.

Regarding:

I see you're storing the residuals in the DataArray attributes. From my perspective, it would be useful to have those directly as DataArrays. Thoughts ?

I see the point and agree with you. I think it is a good idea to be as similar to NumPy.polyfit as possible; even for the style of the output. I will see it through to have that changed in GeoCAT.

attn: @clyne and @khallock

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Implement polyfit? 499477363
565675452 https://github.com/pydata/xarray/issues/3349#issuecomment-565675452 https://api.github.com/repos/pydata/xarray/issues/3349 MDEyOklzc3VlQ29tbWVudDU2NTY3NTQ1Mg== maboualidev 24830983 2019-12-14T03:01:44Z 2019-12-14T03:03:14Z NONE

geocat.comp.ndpolyfit extends NumPy.polyfit for multi-dimensional arrays and has support for Xarray and Dask. It does exactly what is requested here.

regards,

@andersy005 @clyne @matt-long @khallock

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Implement polyfit? 499477363

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]);