home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

3 rows where issue = 628719058 and user = 88113 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

  • joshmoore · 3 ✖

issue 1

  • Feature Request: Hierarchical storage and processing in xarray · 3 ✖

author_association 1

  • NONE 3
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
833574864 https://github.com/pydata/xarray/issues/4118#issuecomment-833574864 https://api.github.com/repos/pydata/xarray/issues/4118 MDEyOklzc3VlQ29tbWVudDgzMzU3NDg2NA== joshmoore 88113 2021-05-06T14:36:37Z 2021-05-06T14:36:37Z NONE

Picking up on @dcherian's https://github.com/pydata/xarray/issues/4118#issuecomment-806954634 and @rabernat's https://github.com/ome/ngff/issues/48#issuecomment-833456889, Zarr was also accepted to the second round and certainly references this issue in case we want to sync up. (Apologies if I missed where that discussion moved.)

{
    "total_count": 2,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 2,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Feature Request: Hierarchical storage and processing in xarray 628719058
806494079 https://github.com/pydata/xarray/issues/4118#issuecomment-806494079 https://api.github.com/repos/pydata/xarray/issues/4118 MDEyOklzc3VlQ29tbWVudDgwNjQ5NDA3OQ== joshmoore 88113 2021-03-25T09:21:47Z 2021-03-25T09:21:47Z NONE

Happy to provide assistance on the image pyramid (i.e. "multiscale") use case.

{
    "total_count": 2,
    "+1": 2,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Feature Request: Hierarchical storage and processing in xarray 628719058
756204582 https://github.com/pydata/xarray/issues/4118#issuecomment-756204582 https://api.github.com/repos/pydata/xarray/issues/4118 MDEyOklzc3VlQ29tbWVudDc1NjIwNDU4Mg== joshmoore 88113 2021-01-07T15:57:03Z 2021-01-07T15:57:03Z NONE

Thanks for the link, @jhamman. The most immediate issue I ran into when trying to use xarray with OME-Zarr data does seem similar. A rough representation of one multiscale image is:

image_pyramid: |_ zyx_array_high_res |_ zyx_array_mid_res |_ zyx_array_low_res

but of course the x, y and z dimensions are of different sizes in each volume.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Feature Request: Hierarchical storage and processing in xarray 628719058

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 3284.992ms · About: xarray-datasette