issue_comments

Table actions

2 rows where issue = 619089111 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

user 2

author_association 2

issue 1

  • Feature request: ds.interp_like() keyword to exclude certain dimensions · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
629384825 https://github.com/pydata/xarray/issues/4066#issuecomment-629384825 https://api.github.com/repos/pydata/xarray/issues/4066 MDEyOklzc3VlQ29tbWVudDYyOTM4NDgyNQ== ahuang11 15331990 2020-05-15T17:28:09Z 2020-05-15T17:28:09Z CONTRIBUTOR

Neat solution! Thanks!

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Feature request: ds.interp_like() keyword to exclude certain dimensions 619089111
629362404 https://github.com/pydata/xarray/issues/4066#issuecomment-629362404 https://api.github.com/repos/pydata/xarray/issues/4066 MDEyOklzc3VlQ29tbWVudDYyOTM2MjQwNA== keewis 14808389 2020-05-15T16:42:20Z 2020-05-15T16:42:39Z MEMBER

you should be able to drop the excluded dimension: ```python In [25]: ds2 = xr.Dataset( ...: coords={ ...: "lon": np.linspace(0, 360, 36), ...: "lat": np.linspace(-90, 90, 18), ...: "time": xr.cftime_range("2014-01-01", "2014-01-10"), ...: } ...: )

In [26]: ds = xr.tutorial.open_dataset("air_temperature")

In [27]: ds.interp_like(ds2.drop_dims("time")) Out[27]: <xarray.Dataset> Dimensions: (lat: 18, lon: 36, time: 2920) Coordinates: * time (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00 * lon (lon) float64 0.0 10.29 20.57 30.86 ... 329.1 339.4 349.7 360.0 * lat (lat) float64 -90.0 -79.41 -68.82 -58.24 ... 58.24 68.82 79.41 90.0 Data variables: air (time, lat, lon) float64 nan nan nan nan nan ... nan nan nan nan Attributes: Conventions: COARDS title: 4x daily NMC reanalysis (1948) description: Data is from NMC initialized reanalysis\n(4x/day). These a... platform: Model references: http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly... ```

 
{
    "total_count": 1,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 1,
    "rocket": 0,
    "eyes": 0
}
   Feature request: ds.interp_like() keyword to exclude certain dimensions 619089111

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]);