issue_comments
4 rows where user = 25015426 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: issue_url, created_at (date), updated_at (date)
user 1
- leeviannala · 4 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 348682194 | https://github.com/pydata/xarray/issues/1755#issuecomment-348682194 | https://api.github.com/repos/pydata/xarray/issues/1755 | MDEyOklzc3VlQ29tbWVudDM0ODY4MjE5NA== | leeviannala 25015426 | 2017-12-02T10:13:39Z | 2017-12-02T10:13:39Z | CONTRIBUTOR | Thank you for your explination. I will to look into my problem from another angle. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Is there a reason for why DataArray.swap_dims() cannot be done in place like Dataset.swap_dims? 278453914 | |
| 348536836 | https://github.com/pydata/xarray/issues/1755#issuecomment-348536836 | https://api.github.com/repos/pydata/xarray/issues/1755 | MDEyOklzc3VlQ29tbWVudDM0ODUzNjgzNg== | leeviannala 25015426 | 2017-12-01T16:14:43Z | 2017-12-01T16:14:43Z | CONTRIBUTOR | Seems like I forgot a confusing line in my example. For example in dataarray_accessor, we have a need for in-place swap.
So the question again was, is there a reason, why the inline keyword is implemented on dataset, but not on dataarray. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Is there a reason for why DataArray.swap_dims() cannot be done in place like Dataset.swap_dims? 278453914 | |
| 348492848 | https://github.com/pydata/xarray/issues/1755#issuecomment-348492848 | https://api.github.com/repos/pydata/xarray/issues/1755 | MDEyOklzc3VlQ29tbWVudDM0ODQ5Mjg0OA== | leeviannala 25015426 | 2017-12-01T13:20:07Z | 2017-12-01T13:20:07Z | CONTRIBUTOR | @rabernat, please note that i'm working with dataarrays. There is no inplace keyword. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Is there a reason for why DataArray.swap_dims() cannot be done in place like Dataset.swap_dims? 278453914 | |
| 325572050 | https://github.com/pydata/xarray/pull/1526#issuecomment-325572050 | https://api.github.com/repos/pydata/xarray/issues/1526 | MDEyOklzc3VlQ29tbWVudDMyNTU3MjA1MA== | leeviannala 25015426 | 2017-08-29T06:53:20Z | 2017-08-29T06:53:20Z | CONTRIBUTOR | I'm getting random errors on flake8 test from whats-new.rst, but otherwise it passes. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Fixed issue #1520, by adding a if-else that checks for None 252813229 |
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]);
issue 2