home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

5 rows where user = 40734014 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

  • HDF5-DIAG warnings calling `open_mfdataset` with more than `file_cache_maxsize` datasets (hdf5 1.12.2) 2
  • open_mfdataset parallel=True failing with netcdf4 >= 1.6.1 1
  • Xarray does not support full range of netcdf-python compression options 1
  • [skip-ci] Add cftime groupby, resample benchmarks 1

user 1

  • trexfeathers · 5 ✖

author_association 1

  • NONE 5
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1561481756 https://github.com/pydata/xarray/pull/7795#issuecomment-1561481756 https://api.github.com/repos/pydata/xarray/issues/7795 IC_kwDOAMm_X85dElIc trexfeathers 40734014 2023-05-24T16:07:58Z 2023-05-24T16:07:58Z NONE

If you're curious what happened, we had the same problem: https://github.com/SciTools/iris/issues/5280#issuecomment-1525802077

Just wish I'd spotted this sooner but it's quite hard to follow two organisations' repos 😆

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  [skip-ci] Add cftime groupby, resample benchmarks 1688781350
1511283077 https://github.com/pydata/xarray/issues/7388#issuecomment-1511283077 https://api.github.com/repos/pydata/xarray/issues/7388 IC_kwDOAMm_X85aFFmF trexfeathers 40734014 2023-04-17T12:54:07Z 2023-04-17T12:54:07Z NONE

Hi. I updated the branch and created a fresh python environment with the idea of writing another, final test for this. However before doing it I run the test suite, and got some bad HDF5 errors in test_backends.py::test_open_mfdataset_manyfiles[netcdf4-20-True-None-5]

7549

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Xarray does not support full range of netcdf-python compression options 1503046820
1461755281 https://github.com/pydata/xarray/issues/7549#issuecomment-1461755281 https://api.github.com/repos/pydata/xarray/issues/7549 IC_kwDOAMm_X85XIJ2R trexfeathers 40734014 2023-03-09T10:30:28Z 2023-03-09T10:30:28Z NONE

before netCDF4 v1.6.2

Before v1.6.1, I believe

{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  HDF5-DIAG warnings calling `open_mfdataset` with more than `file_cache_maxsize` datasets (hdf5 1.12.2) 1596115847
1460606256 https://github.com/pydata/xarray/issues/7549#issuecomment-1460606256 https://api.github.com/repos/pydata/xarray/issues/7549 IC_kwDOAMm_X85XDxUw trexfeathers 40734014 2023-03-08T18:00:35Z 2023-03-08T18:00:35Z NONE

@pp-mo 👀

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  HDF5-DIAG warnings calling `open_mfdataset` with more than `file_cache_maxsize` datasets (hdf5 1.12.2) 1596115847
1408427455 https://github.com/pydata/xarray/issues/7079#issuecomment-1408427455 https://api.github.com/repos/pydata/xarray/issues/7079 IC_kwDOAMm_X85T8uW_ trexfeathers 40734014 2023-01-30T11:09:15Z 2023-01-30T11:09:15Z NONE

iris has the pin in their package metadata

Note that this will hopefully be removed soon - SciTools/iris#5095 - but the reviewer has been assigned to other urgent work so it's paused right now.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  open_mfdataset parallel=True failing with netcdf4 >= 1.6.1 1385031286

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 14.433ms · About: xarray-datasette