issue_comments

Table actions

3 rows where author_association = "MEMBER", issue = 341331807 and user = 2448579 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: reactions, updated_at (date)

user 1

  • dcherian · 3 ✖

issue 1

  • Add CRS/projection information to xarray objects · 3 ✖

author_association 1

  • MEMBER · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1279429113 https://github.com/pydata/xarray/issues/2288#issuecomment-1279429113 https://api.github.com/repos/pydata/xarray/issues/2288 IC_kwDOAMm_X85MQon5 dcherian 2448579 2022-10-14T20:27:26Z 2022-10-14T20:27:26Z MEMBER

I've proposed adding CRSIndex to rioxarray to experiment with propagating CRS info in existing workflows: https://github.com/corteva/rioxarray/issues/588

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Add CRS/projection information to xarray objects 341331807
1211392529 https://github.com/pydata/xarray/issues/2288#issuecomment-1211392529 https://api.github.com/repos/pydata/xarray/issues/2288 IC_kwDOAMm_X85INGIR dcherian 2448579 2022-08-10T23:19:48Z 2022-08-10T23:19:48Z MEMBER

could be moved into some PandasMetaIndex helper class that would encapsulate one or more PandasIndex

Agreed.

reuse the CRS-related logic with other kinds of index structures (like kd-trees). I've been thinking a bit about the general issue of flexible geospatial xarray indexes but I'm not sure yet how best it could be solved.

Yeah I don't think the PandasMetaIndex is a good pathway for CRSIndex, since we'd want other underlying tree-like structures.

be supported with https://github.com/pydata/xarray/pull/6800

Hadn't seen that. That would be great!

the variables argument of Index.create_variables should be optional or not.

I actually didn't understand what I was supposed to do with variables :) . It would be nice to document in PandasIndex

There's some discussion in https://github.com/pydata/xarray/issues/4366 about adding a new .drop_indexes() (or drop_xindexes()?) method.

My takeaway was that on the API side, we should prioritize adding set_xindex and drop_indexes. These are critical for experiments.

Re: reduction to scalar, I agree it seems tricky.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Add CRS/projection information to xarray objects 341331807
1205793138 https://github.com/pydata/xarray/issues/2288#issuecomment-1205793138 https://api.github.com/repos/pydata/xarray/issues/2288 IC_kwDOAMm_X85H3vFy dcherian 2448579 2022-08-04T21:35:50Z 2022-08-04T21:35:50Z MEMBER

Here is an alpha version of a CRSIndex heavily drawing on @benbovy's RasterIndex https://github.com/dcherian/crsindex/blob/main/crsindex.ipynb

As a non-expert, I very arbitrarily chose to propagate CRS info using a spatial_ref scalar variable. When assigned to a dataset we get

so spatial_ref is bolded but is not a dimension, and is associated with an index.

 
{
    "total_count": 5,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 5,
    "eyes": 0
}
   Add CRS/projection information to xarray objects 341331807

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]);