issues

Table actions

1 row where state = "closed" and user = 2835718 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

type 1

state 1

  • closed · 1 ✖

repo 1

id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
38849807 MDU6SXNzdWUzODg0OTgwNw== 191 interpolate/sample array at point cossatot 2835718 closed 0     14 2014-07-27T20:28:42Z 2019-01-14T21:17:39Z 2019-01-14T21:17:39Z NONE      

This looks like an excellent project, thanks for all the work.

I am wondering if there is functionality for interpolation or sampling of a Dataset at a point (or sequence of points). The SciPy way of doing this uses scipy.ndimage.map_coordinates and is completely backwards for (geo)spatial data, requiring the point's coordinates to be converted to 'array' coordinates before interpolation.

Does this already have an implementation, given how super common an operation it is? If not, would it be difficult to wrap pandas.Series.interpolate() up? I might write a function to do this, but I don't known the xray internals well enough to know where to stick it.

Thanks, Richard

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/191/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   completed xarray 13221727 issue

Advanced export

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

CSV options: 

CREATE TABLE [issues] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [number] INTEGER,
   [title] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [state] TEXT,
   [locked] INTEGER,
   [assignee] INTEGER REFERENCES [users]([id]),
   [milestone] INTEGER REFERENCES [milestones]([id]),
   [comments] INTEGER,
   [created_at] TEXT,
   [updated_at] TEXT,
   [closed_at] TEXT,
   [author_association] TEXT,
   [active_lock_reason] TEXT,
   [draft] INTEGER,
   [pull_request] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [state_reason] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [type] TEXT
);
CREATE INDEX [idx_issues_repo]
    ON [issues] ([repo]);
CREATE INDEX [idx_issues_milestone]
    ON [issues] ([milestone]);
CREATE INDEX [idx_issues_assignee]
    ON [issues] ([assignee]);
CREATE INDEX [idx_issues_user]
    ON [issues] ([user]);