issue_comments

Table actions

3 rows where issue = 224846826 and user = 1386642 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

user 1

  • nbren12 · 3 ✖

issue 1

  • FacetGrid with independent colorbars · 3 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
298081427 https://github.com/pydata/xarray/issues/1387#issuecomment-298081427 https://api.github.com/repos/pydata/xarray/issues/1387 MDEyOklzc3VlQ29tbWVudDI5ODA4MTQyNw== nbren12 1386642 2017-04-28T19:04:46Z 2017-04-28T19:04:46Z CONTRIBUTOR

I tend to agree with you @shoyer. In that case it would be nice to have a Dataset.plot convenience method for plotting all the variables in a Dataset. This method could handle all the annoying boiler plate associated with subplots/AxesGrid.

 
{
    "total_count": 8,
    "+1": 8,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   FacetGrid with independent colorbars 224846826
297997508 https://github.com/pydata/xarray/issues/1387#issuecomment-297997508 https://api.github.com/repos/pydata/xarray/issues/1387 MDEyOklzc3VlQ29tbWVudDI5Nzk5NzUwOA== nbren12 1386642 2017-04-28T13:27:59Z 2017-04-28T13:27:59Z CONTRIBUTOR

The AxesGrid API isn't actually that bad. See this

```python from mpl_toolkits.axes_grid1 import ImageGrid

import xarray as xr

fig = plt.figure(figsize=(6,2.5)) grid = ImageGrid(fig, 111, (1,2), axes_pad=.1, cbar_location='bottom', cbar_mode='each', cbar_pad=0.3, aspect=False, cbar_size='3%')

for (lab,data), ax, cax in zip(t.groupby('season'), grid, grid.cbar_axes): im = ax.contourf(data) cax.colorbar(im) ``` 

{
    "total_count": 2,
    "+1": 2,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   FacetGrid with independent colorbars 224846826
297982393 https://github.com/pydata/xarray/issues/1387#issuecomment-297982393 https://api.github.com/repos/pydata/xarray/issues/1387 MDEyOklzc3VlQ29tbWVudDI5Nzk4MjM5Mw== nbren12 1386642 2017-04-28T12:12:56Z 2017-04-28T12:12:56Z CONTRIBUTOR

whoops. accidentally hit the close button.

@fmaussion I was worried that would be the case. I think matplotlib's AxesGrid module is the appropriate tool to handle this use case. Unfortunately, I find the AxesGrid API pretty unpleasant for interactive use.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   FacetGrid with independent colorbars 224846826

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]);