issue_comments

Table actions

10 rows where issue = 38109425 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

author_association 2

issue 1

  • Plot methods · 10 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
132307937 https://github.com/pydata/xarray/issues/185#issuecomment-132307937 https://api.github.com/repos/pydata/xarray/issues/185 MDEyOklzc3VlQ29tbWVudDEzMjMwNzkzNw== clarkfitzg 5356122 2015-08-18T18:25:39Z 2015-08-18T18:25:39Z MEMBER

Closed by #466 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Plot methods 38109425
120210790 https://github.com/pydata/xarray/issues/185#issuecomment-120210790 https://api.github.com/repos/pydata/xarray/issues/185 MDEyOklzc3VlQ29tbWVudDEyMDIxMDc5MA== clarkfitzg 5356122 2015-07-10T03:13:32Z 2015-07-10T03:13:32Z MEMBER

@shoyer good point- I hadn't yet considered that.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Plot methods 38109425
120149412 https://github.com/pydata/xarray/issues/185#issuecomment-120149412 https://api.github.com/repos/pydata/xarray/issues/185 MDEyOklzc3VlQ29tbWVudDEyMDE0OTQxMg== shoyer 1217238 2015-07-09T21:30:13Z 2015-07-09T21:30:13Z MEMBER

something to consider: we should make sure we can handle NaNs properly (by converting to masked array).

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Plot methods 38109425
120119498 https://github.com/pydata/xarray/issues/185#issuecomment-120119498 https://api.github.com/repos/pydata/xarray/issues/185 MDEyOklzc3VlQ29tbWVudDEyMDExOTQ5OA== nbren12 1386642 2015-07-09T19:29:35Z 2015-07-09T19:29:35Z CONTRIBUTOR

I've been watching the progress on that branch haha. exciting stuff!

On Thu, Jul 9, 2015 at 2:45 PM, Clark Fitzgerald notifications@github.com wrote:

@nbren12 https://github.com/nbren12 Thanks for the input! I'll add a link to that library in the docs.

By the way, development is happening on this branch now: https://github.com/xray/xray/tree/feature-plotting

— Reply to this email directly or view it on GitHub https://github.com/xray/xray/issues/185#issuecomment-120102545.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Plot methods 38109425
120102545 https://github.com/pydata/xarray/issues/185#issuecomment-120102545 https://api.github.com/repos/pydata/xarray/issues/185 MDEyOklzc3VlQ29tbWVudDEyMDEwMjU0NQ== clarkfitzg 5356122 2015-07-09T18:45:19Z 2015-07-09T18:45:19Z MEMBER

@nbren12 Thanks for the input! I'll add a link to that library in the docs.

By the way, development is happening on this branch now: https://github.com/xray/xray/tree/feature-plotting

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Plot methods 38109425
119635118 https://github.com/pydata/xarray/issues/185#issuecomment-119635118 https://api.github.com/repos/pydata/xarray/issues/185 MDEyOklzc3VlQ29tbWVudDExOTYzNTExOA== nbren12 1386642 2015-07-08T15:59:30Z 2015-07-08T15:59:30Z CONTRIBUTOR

As a user, I am very excited in this work. I just wanted to mention a library called holoviews that seems to implement an very similar set of features as xray with a focus on visualization. It seems that the API from that project is very well suited to plotting higher dimensional data. I also posted about this in the xray google group, but it seems like there is not much traffic there. 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Plot methods 38109425
115031906 https://github.com/pydata/xarray/issues/185#issuecomment-115031906 https://api.github.com/repos/pydata/xarray/issues/185 MDEyOklzc3VlQ29tbWVudDExNTAzMTkwNg== clarkfitzg 5356122 2015-06-24T22:30:09Z 2015-06-24T22:30:09Z MEMBER

Starting on this now. Some more relevant notes:

xray + matplotlib Wrap matplotlib using xray metadata wrap matplotlib methods directly but label axes with xray metadata automatically. Just like pandas plot method. Ideally, this should use plot submethods like x.plot.contourf() or x.plot_contourf(), similar to plans for pandas.

Grid 2D images easily Given a 3D DataArray, "group by" one dimension on which to show the remaining 2D image for each tick. These images can simply be wrapped, as in ggplot's facet_wrap.

lower priority: given an nd DataArray, facet_grid on multiple dimensions, showing 2D images on each.

For API inspiration, consider seaborn’s FacetGrid.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Plot methods 38109425
60404650 https://github.com/pydata/xarray/issues/185#issuecomment-60404650 https://api.github.com/repos/pydata/xarray/issues/185 MDEyOklzc3VlQ29tbWVudDYwNDA0NjUw WeatherGod 291576 2014-10-24T15:37:00Z 2014-10-24T15:37:00Z CONTRIBUTOR

May I propose a name? xray.glasses

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Plot methods 38109425
49495814 https://github.com/pydata/xarray/issues/185#issuecomment-49495814 https://api.github.com/repos/pydata/xarray/issues/185 MDEyOklzc3VlQ29tbWVudDQ5NDk1ODE0 shoyer 1217238 2014-07-19T01:29:20Z 2014-07-19T01:29:20Z MEMBER

I would start by adding DataArray.plot and go from there. Dataset plots will probably also be handy, even if all they do is plotting all the DataArray plots in separate columns (or on top of each other).

Yes, I like the cartopy API better than basemap, because you can just provide an appropriate ax argument to matplotlib methods and cartopy does all the coordinate conversions automatically. Basemap requires more boilerplate. My sense is also that cartopy is being more actively developed (Jeff Whitaker is a busy guy!) and hence it probably has more of the edge cases for plotting fixed.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Plot methods 38109425
49478124 https://github.com/pydata/xarray/issues/185#issuecomment-49478124 https://api.github.com/repos/pydata/xarray/issues/185 MDEyOklzc3VlQ29tbWVudDQ5NDc4MTI0 jhamman 2443309 2014-07-18T20:49:39Z 2014-07-18T20:49:39Z MEMBER

I like the idea of adding plot methods. Do you plan on just support plotting at the DataArray level or would you also try something that works at the Dataset level (for multiple variables)?

@shoyer , do you prefer cartopy over basemap? If so, why? 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Plot methods 38109425

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

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]);