issue_comments

Table actions

2 rows where issue = 415802678 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

user 2

author_association 2

issue 1

  • Better explanation of 'minimal' in xarray.open_mfdataset(data_vars='minimal') in docs? · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
473006941 https://github.com/pydata/xarray/issues/2796#issuecomment-473006941 https://api.github.com/repos/pydata/xarray/issues/2796 MDEyOklzc3VlQ29tbWVudDQ3MzAwNjk0MQ== wckoeppen 5704500 2019-03-14T18:40:59Z 2019-03-14T18:40:59Z NONE

Whoa, well I suppose that explains why we can't use xarray.open_mfdataset to open more than a week's worth of these files then. They contain 250+ variables.

I guess what I'm looking for is a way to provide a list of variables to the function, and for 'minimal' to include only the dimension variables relevant to the variables I'm interested in.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Better explanation of 'minimal' in xarray.open_mfdataset(data_vars='minimal') in docs? 415802678
472263264 https://github.com/pydata/xarray/issues/2796#issuecomment-472263264 https://api.github.com/repos/pydata/xarray/issues/2796 MDEyOklzc3VlQ29tbWVudDQ3MjI2MzI2NA== shoyer 1217238 2019-03-13T03:15:36Z 2019-03-13T03:15:36Z MEMBER

So does that mean that all the variables in the files will be concatenated, regardless if I specify which ones I want? I feel like I'm misunderstanding what is included by default.

Yes, that's right.

xarray.concat is a little confusing because it combines functionality from two NumPy functions, np.concatenate and np.stack.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Better explanation of 'minimal' in xarray.open_mfdataset(data_vars='minimal') in docs? 415802678

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]);