issue_comments

Table actions

3 rows where issue = 290023410 and user = 1889878 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

  • botev · 3 ✖

issue 1

  • How to broadcast along dayofyear · 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
359406359 https://github.com/pydata/xarray/issues/1844#issuecomment-359406359 https://api.github.com/repos/pydata/xarray/issues/1844 MDEyOklzc3VlQ29tbWVudDM1OTQwNjM1OQ== botev 1889878 2018-01-22T12:12:57Z 2018-01-22T12:12:57Z NONE

Thanks a lot for the help!

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   How to broadcast along dayofyear 290023410
359066317 https://github.com/pydata/xarray/issues/1844#issuecomment-359066317 https://api.github.com/repos/pydata/xarray/issues/1844 MDEyOklzc3VlQ29tbWVudDM1OTA2NjMxNw== botev 1889878 2018-01-19T19:31:43Z 2018-01-19T19:43:38Z NONE

I end up doing the following: ```

dset, mean, std - all XArray objects as explained above

time_index = dset.time.dt.dayofyear dset_mean = mean.sel(dayofyear=time_index) dset_std = std.sel(dayofyear=time_index) new_dset = ((dset - dset_mean) / dset_std).drop("dayofyear") `` One issue though is that this quite bad on memory as it constructs 3 arrays in memmory as large as the original one. If anoyne has any suggestion on how to improve this I would be very grateful. Also is it possible to compute and storenew_dset` simutlanously so I don't create it in memory?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   How to broadcast along dayofyear 290023410
359061384 https://github.com/pydata/xarray/issues/1844#issuecomment-359061384 https://api.github.com/repos/pydata/xarray/issues/1844 MDEyOklzc3VlQ29tbWVudDM1OTA2MTM4NA== botev 1889878 2018-01-19T19:12:23Z 2018-01-19T19:12:23Z NONE

Thanks for the suggestion. However, option 2 and 3 are not really options, as after this, I need to provide the standardized field with the original time index. I'm using Xarray for the first time but will try to do the reindexing. 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   How to broadcast along dayofyear 290023410

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]);