issue_comments
3 rows where issue = 609108666 and user = 34353851 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Concatenate DataArrays on one dim when another dim has difference sizes · 3 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
624384220 | https://github.com/pydata/xarray/issues/4016#issuecomment-624384220 | https://api.github.com/repos/pydata/xarray/issues/4016 | MDEyOklzc3VlQ29tbWVudDYyNDM4NDIyMA== | JavierRuano 34353851 | 2020-05-06T00:54:38Z | 2020-05-06T00:54:38Z | NONE | I think another solution you could add an aleat microsecond or nanosecond field ... in the datetime index and the index should be different. You could test if there are colision in the index (it means the index<->time is not empty like the sort algorithm, something similar to https://en.wikipedia.org/wiki/Radix_sort) It is like the reverse of this solution Add another coordinate could be overloaded and xarray is very powerful to extract slice of time ds.sel(time =slice('2000-06-01', '2000-06-10')) http://xarray.pydata.org/en/stable/time-series.html#datetime-indexing I hope it could be useful. Regards Javier Ruano El mié., 29 abr. 2020 17:34, Javier Ruano javier.ruanno@gmail.com escribió:
|
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Concatenate DataArrays on one dim when another dim has difference sizes 609108666 | |
621290319 | https://github.com/pydata/xarray/issues/4016#issuecomment-621290319 | https://api.github.com/repos/pydata/xarray/issues/4016 | MDEyOklzc3VlQ29tbWVudDYyMTI5MDMxOQ== | JavierRuano 34353851 | 2020-04-29T15:35:01Z | 2020-04-29T15:35:01Z | NONE | pandas doesn't have that problem import pandas as pd x1=pd.DataFrame([['1','2','3']]) x2=pd.DataFrame([['4','5','6']]) pd.concat([x1,x2],axis=1) El mié., 29 abr. 2020 a las 17:23, Javier Ruano (javier.ruanno@gmail.com) escribió:
|
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Concatenate DataArrays on one dim when another dim has difference sizes 609108666 | |
621283446 | https://github.com/pydata/xarray/issues/4016#issuecomment-621283446 | https://api.github.com/repos/pydata/xarray/issues/4016 | MDEyOklzc3VlQ29tbWVudDYyMTI4MzQ0Ng== | JavierRuano 34353851 | 2020-04-29T15:23:59Z | 2020-04-29T15:23:59Z | NONE | the time is the same. do you have tried to change the second one time index? El mié., 29 abr. 2020 a las 16:36, Xin Zhang (notifications@github.com) escribió:
|
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Concatenate DataArrays on one dim when another dim has difference sizes 609108666 |
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