issue_comments
5 rows where issue = 158518147 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: reactions, created_at (date), updated_at (date)
issue 1
- open netCDF gives 'time' dim with 1969 change in timezone · 5 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 223776182 | https://github.com/pydata/xarray/issues/869#issuecomment-223776182 | https://api.github.com/repos/pydata/xarray/issues/869 | MDEyOklzc3VlQ29tbWVudDIyMzc3NjE4Mg== | shoyer 1217238 | 2016-06-04T20:20:46Z | 2016-06-04T20:20:46Z | MEMBER | +1 for conda-forge. We should add a note about it to the install page. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
open netCDF gives 'time' dim with 1969 change in timezone 158518147 | |
| 223775868 | https://github.com/pydata/xarray/issues/869#issuecomment-223775868 | https://api.github.com/repos/pydata/xarray/issues/869 | MDEyOklzc3VlQ29tbWVudDIyMzc3NTg2OA== | brews 2049051 | 2016-06-04T20:13:14Z | 2016-06-04T20:13:32Z | CONTRIBUTOR | Wow. How did I not know about conda-forge? This solve all problems. They even have a windspharm for py3! I owe you a beer @fmaussion! Thanks again. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
open netCDF gives 'time' dim with 1969 change in timezone 158518147 | |
| 223774777 | https://github.com/pydata/xarray/issues/869#issuecomment-223774777 | https://api.github.com/repos/pydata/xarray/issues/869 | MDEyOklzc3VlQ29tbWVudDIyMzc3NDc3Nw== | fmaussion 10050469 | 2016-06-04T19:51:00Z | 2016-06-04T19:51:00Z | MEMBER | The best channel out there is definitely conda-forge: https://conda-forge.github.io/ Check it out! |
{
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
open netCDF gives 'time' dim with 1969 change in timezone 158518147 | |
| 223774592 | https://github.com/pydata/xarray/issues/869#issuecomment-223774592 | https://api.github.com/repos/pydata/xarray/issues/869 | MDEyOklzc3VlQ29tbWVudDIyMzc3NDU5Mg== | brews 2049051 | 2016-06-04T19:47:39Z | 2016-06-04T19:47:39Z | CONTRIBUTOR | @fmaussion Yes this solves the problem! Closed. Now the problem is that my Basemap and Cartopy 0.14 in conda currently depend on numpy 1.10*. This puts me in Dependency Hell. Does anyone happen to have a channel for these (or at least Cartopy 0.14) that will work with numpy 1.11*? |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
open netCDF gives 'time' dim with 1969 change in timezone 158518147 | |
| 223773453 | https://github.com/pydata/xarray/issues/869#issuecomment-223773453 | https://api.github.com/repos/pydata/xarray/issues/869 | MDEyOklzc3VlQ29tbWVudDIyMzc3MzQ1Mw== | fmaussion 10050469 | 2016-06-04T19:24:56Z | 2016-06-04T19:24:56Z | MEMBER | This is a guess, but I bet you have numpy 1.10. Try to update to 1.11: http://docs.scipy.org/doc/numpy-dev/reference/arrays.datetime.html#changes-with-numpy-1-11 |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
open netCDF gives 'time' dim with 1969 change in timezone 158518147 |
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 3