issue_comments

Table actions

1 row where issue = 241290234 and user = 21049064 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

  • tommylees112 · 1 ✖

issue 1

  • sharing dimensions across dataarrays in a dataset · 1 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
433952128 https://github.com/pydata/xarray/issues/1471#issuecomment-433952128 https://api.github.com/repos/pydata/xarray/issues/1471 MDEyOklzc3VlQ29tbWVudDQzMzk1MjEyOA== tommylees112 21049064 2018-10-29T15:21:34Z 2018-10-29T15:21:34Z NONE

@smartass101 & @shoyer what would be the code for working with a pandas.MultiIndex object in this use case? Could you show how it would work related to your example above:

<xarray.Dataset> Dimensions: (num: 21, ar:2) # <-- note that MB is still of dims {'num': 19} only Coordinates: # <-- mostly unions as done by concat * num (num) int64 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 B <U1 'r' * ar <U1 'A' 'B' # <-- this is now a dim of the dataset, but not of MA or MB Data variables: MA (num) float64 0.5 1.0 1.5 2.0 2.5 3.0 ... 8.0 8.5 9.0 9.5 10.0 10.5 MB (num) float64 1.0 1.5 2.0 2.5 3.0 3.5 ... 7.5 8.0 8.5 9.0 9.5 10.0

I am working with land surface model outputs. I have lots of one-dimensional data for different lat/lon points, at different times. I want to join them all into one dataset to make plotting easier. E.g. plot the evapotranspiration estimates for all the stations at their x,y coordinates.

Thanks very much!

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   sharing dimensions across dataarrays in a dataset 241290234

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]);