issue_comments
4 rows where issue = 1720045908 and user = 85085 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: reactions, created_at (date), updated_at (date)
issue 1
- CF encoding should preserve vlen dtype for empty arrays · 4 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
1573764660 | https://github.com/pydata/xarray/pull/7862#issuecomment-1573764660 | https://api.github.com/repos/pydata/xarray/issues/7862 | IC_kwDOAMm_X85dzb40 | tomwhite 85085 | 2023-06-02T13:44:43Z | 2023-06-02T13:44:43Z | CONTRIBUTOR | @kmuehlbauer thanks for adding tests! I'm not sure what the mypy error is either, I'm afraid... |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
CF encoding should preserve vlen dtype for empty arrays 1720045908 | |
1561308333 | https://github.com/pydata/xarray/pull/7862#issuecomment-1561308333 | https://api.github.com/repos/pydata/xarray/issues/7862 | IC_kwDOAMm_X85dD6yt | tomwhite 85085 | 2023-05-24T14:51:23Z | 2023-05-24T14:51:23Z | CONTRIBUTOR |
Yes - thanks!
The floating point default is preserved if you do e.g. |
{ "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
CF encoding should preserve vlen dtype for empty arrays 1720045908 | |
1561240314 | https://github.com/pydata/xarray/pull/7862#issuecomment-1561240314 | https://api.github.com/repos/pydata/xarray/issues/7862 | IC_kwDOAMm_X85dDqL6 | tomwhite 85085 | 2023-05-24T14:12:49Z | 2023-05-24T14:12:49Z | CONTRIBUTOR |
The code looks fine, and I get the same result when I run it with this PR. Your fix in https://github.com/kmuehlbauer/xarray/tree/preserve-vlen-string-dtype changes the metadata so it is correctly preserved as I feel less qualified to evaluate the impact of the netcdf4 fix. |
{ "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
CF encoding should preserve vlen dtype for empty arrays 1720045908 | |
1561143111 | https://github.com/pydata/xarray/pull/7862#issuecomment-1561143111 | https://api.github.com/repos/pydata/xarray/issues/7862 | IC_kwDOAMm_X85dDSdH | tomwhite 85085 | 2023-05-24T13:23:18Z | 2023-05-24T13:23:18Z | CONTRIBUTOR | Thanks for taking a look @kmuehlbauer and for the useful example code. I hadn't considered the netcdf cases, so thanks for pointing those out.
Could netcdf4 do the same special-casing as h5netcdf? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
CF encoding should preserve vlen dtype for empty arrays 1720045908 |
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