issue_comments
5 rows where issue = 282339218 and user = 1217238 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: reactions
issue 1
- plot.line(): Draw multiple lines for 2D DataArrays. · 5 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
354615219 | https://github.com/pydata/xarray/pull/1785#issuecomment-354615219 | https://api.github.com/repos/pydata/xarray/issues/1785 | MDEyOklzc3VlQ29tbWVudDM1NDYxNTIxOQ== | shoyer 1217238 | 2017-12-31T17:18:19Z | 2017-12-31T17:18:19Z | MEMBER | I merged this, but it might also be nice to add an example (or at least brief mention) to the narrative docs for 1D plotting. See: http://xarray.pydata.org/en/stable/plotting.html#one-dimension https://github.com/pydata/xarray/blob/master/doc/plotting.rst |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
plot.line(): Draw multiple lines for 2D DataArrays. 282339218 | |
354615135 | https://github.com/pydata/xarray/pull/1785#issuecomment-354615135 | https://api.github.com/repos/pydata/xarray/issues/1785 | MDEyOklzc3VlQ29tbWVudDM1NDYxNTEzNQ== | shoyer 1217238 | 2017-12-31T17:16:22Z | 2017-12-31T17:16:22Z | MEMBER | Thanks! |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
plot.line(): Draw multiple lines for 2D DataArrays. 282339218 | |
352888557 | https://github.com/pydata/xarray/pull/1785#issuecomment-352888557 | https://api.github.com/repos/pydata/xarray/issues/1785 | MDEyOklzc3VlQ29tbWVudDM1Mjg4ODU1Nw== | shoyer 1217238 | 2017-12-19T21:15:13Z | 2017-12-19T21:15:13Z | MEMBER |
We use the order of the dimensions on the array for choosing how to plot it. The analogous behavior would be to always plot longer dimension along the x-axis, which isn't what we do.
I agree that users probably rarely want 10,000 lines :). That's a good reason to require an explicit choice here. The problem are edge cases like a 5x6 array. Do you want 5 lines of 6 points each or 6 lines of 5 points each? If we make the heuristic depend on the size of the array, then it will give very hard to understand what happens when the array shape changes slightly.
Yes, that sounds right. |
{ "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
plot.line(): Draw multiple lines for 2D DataArrays. 282339218 | |
352618585 | https://github.com/pydata/xarray/pull/1785#issuecomment-352618585 | https://api.github.com/repos/pydata/xarray/issues/1785 | MDEyOklzc3VlQ29tbWVudDM1MjYxODU4NQ== | shoyer 1217238 | 2017-12-19T02:13:09Z | 2017-12-19T02:13:09Z | MEMBER |
I am very nervous about automated heuristics for choosing behavior. I would much rather we raise an error message in cases like this, rather than guessing. (The problem is that heuristics can make it very hard to predict/understand how code will work without trying it.) |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
plot.line(): Draw multiple lines for 2D DataArrays. 282339218 | |
352616524 | https://github.com/pydata/xarray/pull/1785#issuecomment-352616524 | https://api.github.com/repos/pydata/xarray/issues/1785 | MDEyOklzc3VlQ29tbWVudDM1MjYxNjUyNA== | shoyer 1217238 | 2017-12-19T02:00:07Z | 2017-12-19T02:00:07Z | MEMBER | Is there a keyword argument name that it would make sense to use for the dimension that is repeated into multiple lines? Maybe I would like there to be a fully explicit way to make these plots. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
plot.line(): Draw multiple lines for 2D DataArrays. 282339218 |
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