issue_comments

Table actions

3 rows where issue = 319985789 and user = 17162724 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

  • raybellwaves · 3 ✖

issue 1

  • DOC: Add resample e.g. Edit rolling e.g. Add groupby e.g. · 3 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
387213362 https://github.com/pydata/xarray/pull/2101#issuecomment-387213362 https://api.github.com/repos/pydata/xarray/issues/2101 MDEyOklzc3VlQ29tbWVudDM4NzIxMzM2Mg== raybellwaves 17162724 2018-05-07T21:32:52Z 2018-05-07T21:33:30Z CONTRIBUTOR

Snuck in an .assign_coords() example. I often use climate data which has longitude values 0-359. I then may subset the data crossing the meridian. Making the longitude values from -180 - 180 allows an easy look at the data using .plot(). My example is based on the example here: https://gis.stackexchange.com/questions/205871/xarray-slicing-across-the-antimeridian

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   DOC: Add resample e.g. Edit rolling e.g. Add groupby e.g. 319985789
386774202 https://github.com/pydata/xarray/pull/2101#issuecomment-386774202 https://api.github.com/repos/pydata/xarray/issues/2101 MDEyOklzc3VlQ29tbWVudDM4Njc3NDIwMg== raybellwaves 17162724 2018-05-05T02:54:50Z 2018-05-05T02:54:50Z CONTRIBUTOR 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   DOC: Add resample e.g. Edit rolling e.g. Add groupby e.g. 319985789
386377973 https://github.com/pydata/xarray/pull/2101#issuecomment-386377973 https://api.github.com/repos/pydata/xarray/issues/2101 MDEyOklzc3VlQ29tbWVudDM4NjM3Nzk3Mw== raybellwaves 17162724 2018-05-03T17:42:43Z 2018-05-03T17:42:43Z CONTRIBUTOR

For rolling I just realized there is good section in the docs on the use of .construct() and .reduce(). Perhaps in the docstring of rolling I can point to http://xarray.pydata.org/en/stable/computation.html#rolling-window-operations although not sure where this would go in the docstring? Examples? See Also?

I opened up an issue on resample to use the new syntax with an n-d array. Once That's squared up i'll drop the 2-d example with the old syntax https://github.com/pydata/xarray/issues/2102

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   DOC: Add resample e.g. Edit rolling e.g. Add groupby e.g. 319985789

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]);