issue_comments

Table actions

1 row where author_association = "MEMBER" and issue = 320283034 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

issue 1

  • Deprecate decode timedelta · 1 ✖

author_association 1

  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
386939918 https://github.com/pydata/xarray/pull/2105#issuecomment-386939918 https://api.github.com/repos/pydata/xarray/issues/2105 MDEyOklzc3VlQ29tbWVudDM4NjkzOTkxOA== shoyer 1217238 2018-05-07T02:23:13Z 2018-05-07T02:23:13Z MEMBER

I'm not sure I follow. Roundtrip is easier now since the original time unit dtype is preserved, no? Ping rsignell-usgs who is a netCDF/CF specialist

To clarify: I would like to be able to round-trip something like the following dataset to netCDF. The following code should still work without raising an error: ``` In [30]: import xarray

In [31]: import pandas as pd

In [32]: ds = xarray.Dataset({'foo': ('dt', [1, 2, 3])}, {'dt': pd.to_timedelta(['1 day', '2 days', ' ...: 3 days'])})

In [33]: ds Out[33]: <xarray.Dataset> Dimensions: (dt: 3) Coordinates: * dt (dt) timedelta64[ns] 1 days 2 days 3 days Data variables: foo (dt) int64 1 2 3

In [34]: assert ds.identical(xarray.open_dataset(ds.to_netcdf())) ```

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Deprecate decode timedelta 320283034

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]);