home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

5 rows where author_association = "CONTRIBUTOR" and user = 9200184 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

issue 4

  • AttributeError: 'DataArray' object has no attribute 'weighted' 2
  • We need a fast path for open_mfdataset 1
  • AttributeError: 'DataArray' object has no attribute 'polyfit' 1
  • Modify code in "Grouped arithmetic" 1

user 1

  • Hossein-Madadi · 5 ✖

author_association 1

  • CONTRIBUTOR · 5 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
768600657 https://github.com/pydata/xarray/issues/1823#issuecomment-768600657 https://api.github.com/repos/pydata/xarray/issues/1823 MDEyOklzc3VlQ29tbWVudDc2ODYwMDY1Nw== Hossein-Madadi 9200184 2021-01-27T21:51:24Z 2021-01-27T21:52:11Z CONTRIBUTOR

PS @rabernat

%%time ds = xr.open_mfdataset("/glade/p/cesm/community/ASD-HIGH-RES-CESM1/hybrid_v5_rel04_BC5_ne120_t12_pop62/ocn/proc/tseries/monthly/*.nc", parallel=True, coords="minimal", data_vars="minimal", compat='override')

This completes in 40 seconds with 10 workers on cheyenne.

@dcherian, thanks for your solution. In my experience with 34013 NetCDF files, I could open 117 Gib in 13min 14s. Can I decrease this time?

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  We need a fast path for open_mfdataset 288184220
605287840 https://github.com/pydata/xarray/pull/3904#issuecomment-605287840 https://api.github.com/repos/pydata/xarray/issues/3904 MDEyOklzc3VlQ29tbWVudDYwNTI4Nzg0MA== Hossein-Madadi 9200184 2020-03-27T19:53:46Z 2020-03-27T19:56:20Z CONTRIBUTOR

@max-sixty, yes thanks, It will be my honor.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Modify code in "Grouped arithmetic" 589257707
605020497 https://github.com/pydata/xarray/issues/3902#issuecomment-605020497 https://api.github.com/repos/pydata/xarray/issues/3902 MDEyOklzc3VlQ29tbWVudDYwNTAyMDQ5Nw== Hossein-Madadi 9200184 2020-03-27T14:08:50Z 2020-03-27T14:08:50Z CONTRIBUTOR

@kmuehlbauer, thanks a lot.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  AttributeError: 'DataArray' object has no attribute 'polyfit' 589112325
604921515 https://github.com/pydata/xarray/issues/3901#issuecomment-604921515 https://api.github.com/repos/pydata/xarray/issues/3901 MDEyOklzc3VlQ29tbWVudDYwNDkyMTUxNQ== Hossein-Madadi 9200184 2020-03-27T10:17:13Z 2020-03-27T10:17:13Z CONTRIBUTOR

@shoyer and @kmuehlbauer, thanks for your help, it works :)

{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  AttributeError: 'DataArray' object has no attribute 'weighted' 588928468
604871097 https://github.com/pydata/xarray/issues/3901#issuecomment-604871097 https://api.github.com/repos/pydata/xarray/issues/3901 MDEyOklzc3VlQ29tbWVudDYwNDg3MTA5Nw== Hossein-Madadi 9200184 2020-03-27T08:11:17Z 2020-03-27T08:11:17Z CONTRIBUTOR

I tested it in the last version of jupyter: xr.__version__ '0.15.0'

Unfortunately in anaconda cloud, there is '0.15.0', and pip install 'xarray==0.15.1' --force-reinstall did not work.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  AttributeError: 'DataArray' object has no attribute 'weighted' 588928468

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]);
Powered by Datasette · Queries took 18.764ms · About: xarray-datasette