issue_comments

Table actions

3 rows where author_association = "CONTRIBUTOR" and issue = 255989233 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

issue 1

  • DataArray.unstack taking unreasonable amounts of memory · 3 ✖

author_association 1

  • CONTRIBUTOR · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
327894887 https://github.com/pydata/xarray/issues/1560#issuecomment-327894887 https://api.github.com/repos/pydata/xarray/issues/1560 MDEyOklzc3VlQ29tbWVudDMyNzg5NDg4Nw== djhoese 1828519 2017-09-07T19:07:40Z 2017-09-07T19:07:40Z CONTRIBUTOR

@shoyer As for the equals shortcut, isn't that what this line is doing: https://github.com/pandas-dev/pandas/blob/master/pandas/core/indexes/multi.py#L1864

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   DataArray.unstack taking unreasonable amounts of memory 255989233
327891893 https://github.com/pydata/xarray/issues/1560#issuecomment-327891893 https://api.github.com/repos/pydata/xarray/issues/1560 MDEyOklzc3VlQ29tbWVudDMyNzg5MTg5Mw== mraspaud 167802 2017-09-07T18:55:39Z 2017-09-07T18:55:39Z CONTRIBUTOR

Yes, I have the latest version, still takes some time with a 9000x9000 array: In [4]: %time arr.unstack('flat_dim') CPU times: user 26.1 s, sys: 7.8 s, total: 33.9 s Wall time: 35.3 s

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   DataArray.unstack taking unreasonable amounts of memory 255989233
327849071 https://github.com/pydata/xarray/issues/1560#issuecomment-327849071 https://api.github.com/repos/pydata/xarray/issues/1560 MDEyOklzc3VlQ29tbWVudDMyNzg0OTA3MQ== djhoese 1828519 2017-09-07T16:15:06Z 2017-09-07T16:15:06Z CONTRIBUTOR

I was able to reproduce this on my mac by watching Activity Monitor and saw a peak of ~8GB of memory during the unstack call.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   DataArray.unstack taking unreasonable amounts of memory 255989233

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]);