issues: 423632904

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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 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

 
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