issue_comments
1 row where issue = 267521588 and user = 5635139 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Make passing a DataArray for the xarray.concat dim argument equivalent to passing a pandas Index · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
1094074423 | https://github.com/pydata/xarray/issues/1646#issuecomment-1094074423 | https://api.github.com/repos/pydata/xarray/issues/1646 | IC_kwDOAMm_X85BNkA3 | max-sixty 5635139 | 2022-04-09T16:00:29Z | 2022-04-09T16:00:29Z | MEMBER | One option here would be to take the name of the dataarray iff the dim name is ```python In [7]: xr.concat([da,da], xr.DataArray(['x', 'y'], name='stat'))
Out[7]:
<xarray.DataArray 'air' (dim_0: 2, time: 2920, lat: 25, lon: 53)>
array([[[[241.2 , 242.5 , 243.5 , ..., 232.79999, 235.5 ,
238.59999],
[243.79999, 244.5 , 244.7 , ..., 232.79999, 235.29999,
295.19 ],
[297.69 , 298.09 , 298.09 , ..., 296.49 , 296.19 ,
295.69 ]]]], dtype=float32)
Coordinates:
* lat (lat) float32 75.0 72.5 70.0 67.5 65.0 ... 25.0 22.5 20.0 17.5 15.0
* lon (lon) float32 200.0 202.5 205.0 207.5 ... 322.5 325.0 327.5 330.0
* time (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
* dim_0 (dim_0) <U1 'x' 'y' # Very unlikely we even want It's very unlikely we even want |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Make passing a DataArray for the xarray.concat dim argument equivalent to passing a pandas Index 267521588 |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);
user 1