issues

Table actions

1 row where user = 711050 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

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
423632904 MDU6SXNzdWU0MjM2MzI5MDQ= 2834 Dropping values along multidimensions maxdow 711050 closed 0     2 2019-03-21T09:20:54Z 2019-06-07T07:30:39Z 2019-06-07T07:30:39Z NONE      

I have a multidimentionnal dataset with variables containing NaN values. ```python Dimensions: (lat: 32, lon: 15, time: 3) Coordinates: * lat (lat) float64 43.5 43.75 44.0 44.25 44.5 ... 50.5 50.75 51.0 51.25 * lon (lon) float64 1.0 1.25 1.5 1.75 2.0 2.25 ... 3.5 3.75 4.0 4.25 4.5 plev float64 5e+04 * time (time) datetime64[ns] 2019-03-09 2019-03-09 2019-03-09 Data variables: t (time, lat, lon) float32 -16.949982 -17.149994 ... -23.049988 dd (time, lat, lon) float32 -17.266861 -16.444958 ... -71.54408

d.t.values

array([[[-16.949982, -17.149994, -17.25 , ..., nan, nan, nan], [-16.949982, -17.049988, -17.25 , ..., nan, nan, nan], [-16.949982, -17.049988, -17.149994, ..., nan, nan, nan], ..., [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan], [ nan, nan, nan, ..., nan, nan, nan]],

   [[       nan,        nan,        nan, ...,        nan,
            nan,        nan],
    [       nan,        nan,        nan, ...,        nan,
            nan,        nan],
    [       nan,        nan,        nan, ...,        nan,
            nan,        nan],
    ...,
    [       nan,        nan,        nan, ...,        nan,
            nan,        nan],
    [       nan,        nan,        nan, ...,        nan,
            nan,        nan],
    [       nan,        nan,        nan, ...,        nan,
            nan,        nan]],

...

``` I want to drop this values but keep the associated coordinates . I know I can use the stack feature to have a multiindex. It's working but the real need is to do this along multiples dimensions in the dataset.

Is there an other way to do this ?

I read Dropping along multiple dimensions simultaneously is not yet supported in the xarray.Dataset.dropna documentation. If i correctly understand it could solve this issue. Do you have a plan to support this ?

Thanks and thanks for the amazing work on this librairy

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/2834/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]);