issue_comments
2 rows where user = 18449985 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
336214851 | https://github.com/pydata/xarray/issues/1215#issuecomment-336214851 | https://api.github.com/repos/pydata/xarray/issues/1215 | MDEyOklzc3VlQ29tbWVudDMzNjIxNDg1MQ== | TWellman 18449985 | 2017-10-12T17:50:33Z | 2017-10-12T17:50:33Z | NONE | Thank you! I will give xarray.open_mfdataset a shot. Just one question - is this approach memory conservative? My reasoning for chunking in the first place is large file size. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
to_netcdf() fails to append to an existing file 201428093 | |
336211794 | https://github.com/pydata/xarray/issues/1215#issuecomment-336211794 | https://api.github.com/repos/pydata/xarray/issues/1215 | MDEyOklzc3VlQ29tbWVudDMzNjIxMTc5NA== | TWellman 18449985 | 2017-10-12T17:39:23Z | 2017-10-12T17:39:23Z | NONE | Is it now possible to append to a netCDF file using xarray? I have some tabular data that is read into a dataframe in chunks from a large file. The goal is write in chunks to netCDF. If so, could someone please provide a simple code example. I am receiving an RuntimeError 'NetCDF: String match to name in use' as well. Thank you. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
to_netcdf() fails to append to an existing file 201428093 |
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