issues: 1169750048

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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
1169750048 I_kwDOAMm_X85FuPgg 6360 Multidimensional `interpolate_na()` 5797727 open 0     4 2022-03-15T14:27:46Z 2023-09-28T11:51:20Z   NONE      

Is your feature request related to a problem?

I think that having a way to run a multidimensional interpolation for filling missing values would be awesome.

The code snippet below create a data and show the problem I am having now. If the data has some orientation, we couldn't simply interpolate dimensions separately.

```python import xarray as xr import numpy as np

n = 30 x = xr.DataArray(np.linspace(0,2np.pi,n),dims=['x']) y = xr.DataArray(np.linspace(0,2np.pi,n),dims=['y']) z = (np.sin(x)*xr.ones_like(y))

mask = xr.DataArray(np.random.randint(0,1+1,(n,n)).astype('bool'),dims=['x','y'])

kw = dict(add_colorbar=False)

fig,ax = plt.subplots(1,3,figsize=(11,3)) z.plot(ax=ax[0],kw) z.where(mask).plot(ax=ax[1],kw) z.where(mask).interpolate_na('x').plot(ax=ax[2],**kw) ```

I tried to use advanced interpolation for that, but it doesn't look like the best solution.

```python zs = z.where(mask).stack(k=['x','y']) zs = zs.where(np.isnan(zs),drop=True) xi,yi = zs.k.x.drop('k'),zs.k.y.drop('k') zi = z.interp(x=xi,y=yi)

fig,ax = plt.subplots() z.where(mask).plot(ax=ax,kw) ax.scatter(xi,yi,c=zi,kw,linewidth=1,edgecolor='k') ``` returns

Describe the solution you'd like

Simply z.interpolate_na(['x','y'])

Describe alternatives you've considered

I could extract the data to numpy and interpolate using scipy.interpolate.griddata, but this is not the way xarray should work.

Additional context

No response

 
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     13221727 issue

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