home / github

Menu
  • GraphQL API
  • Search all tables

issue_comments

Table actions
  • GraphQL API for issue_comments

3 rows where user = 25432 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 2

  • Feature Request: Hierarchical storage and processing in xarray 2
  • Multi-scale datasets and custom indexes 1

user 1

  • thewtex · 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
852431061 https://github.com/pydata/xarray/issues/5376#issuecomment-852431061 https://api.github.com/repos/pydata/xarray/issues/5376 MDEyOklzc3VlQ29tbWVudDg1MjQzMTA2MQ== thewtex 25432 2021-06-01T20:41:03Z 2021-06-01T20:41:12Z CONTRIBUTOR

@benbovy I also agree that a data structure that encapsulates a scale into a nice API, where you set the scale currently desired, and the same Xarray Dataset/DataArray API is available, and that scale can optionally be lazily be loaded. Maybe an Index as proposed could be a good API, but I do not have a good enough understanding of how the interface is used in general. What would be other examples like ImagePyramidIndex, outside of the multi-scale context? Should something like Scale be used instead?

Regarding dynamic multi-scale, etc., one use case of interest is where you are interactively processing a larger-then memory dataset, and want to visualize the result over a limited domain on an intermediate scale.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Multi-scale datasets and custom indexes 902009258
833535376 https://github.com/pydata/xarray/issues/4118#issuecomment-833535376 https://api.github.com/repos/pydata/xarray/issues/4118 MDEyOklzc3VlQ29tbWVudDgzMzUzNTM3Ng== thewtex 25432 2021-05-06T13:45:16Z 2021-05-06T13:45:16Z CONTRIBUTOR

For scientific imaging, i.e. biomicroscopy, medical imaging, where xarray compatibility is being considered in the NGFF, it would be helpful to avoid unnecessary divergence by ensuring the proposed hierarchical storage is compatible. This would mean:

  1. Each scale / group can be independently treated as an xarray.Dataset.
  2. They are organized in such a way that the collection of scales can be referenced as it is now, i.e. as a collection of paths,

{ “multiscales”: [ { “datasets” : [ {"path": "0"}, {"path": "1"}, {"path": "2"}, {"path": "3"}, {"path": "4"} ] “version” : “0.1” } ] }

{
    "total_count": 3,
    "+1": 3,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Feature Request: Hierarchical storage and processing in xarray 628719058
776812965 https://github.com/pydata/xarray/issues/4118#issuecomment-776812965 https://api.github.com/repos/pydata/xarray/issues/4118 MDEyOklzc3VlQ29tbWVudDc3NjgxMjk2NQ== thewtex 25432 2021-02-10T15:58:30Z 2021-02-10T15:58:30Z CONTRIBUTOR

@jhamman @joshmoore a prototype to bring together XArray and OME-Zarr/NGFF with multiple groups: https://github.com/OpenImaging/miqa/blob/master/server/scripts/compress_encode.py

{
    "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 12.365ms · About: xarray-datasette