issue_comments
1 row where author_association = "NONE" and issue = 839823306 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- requires io.IOBase subclass rather than duck file-like · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 808605422 | https://github.com/pydata/xarray/issues/5070#issuecomment-808605422 | https://api.github.com/repos/pydata/xarray/issues/5070 | MDEyOklzc3VlQ29tbWVudDgwODYwNTQyMg== | NowanIlfideme 2067093 | 2021-03-27T00:39:26Z | 2021-03-27T00:43:35Z | NONE | Just ran into this. Unsure whether checking As a workaround, you could read it into BytesIO and pass the BytesIO instance: ```python import fsspec import xarray as xr from io import BytesIO of = fsspec.open("example.nc") with of as f: xr.load_dataset(BytesIO(f.read())) ``` Also, here's the link to the code referenced above. Ideally xarray would work with Edit: You don't even need BytesIO, it works even with Bytes: ```python import fsspec import xarray as xr of = fsspec.open("example.nc") with of as f: xr.load_dataset(f.read()) ``` |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
requires io.IOBase subclass rather than duck file-like 839823306 |
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