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  • Support for monotonically decreasing indices in interpolate_na · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1491793033 https://github.com/pydata/xarray/issues/4637#issuecomment-1491793033 https://api.github.com/repos/pydata/xarray/issues/4637 IC_kwDOAMm_X85Y6vSJ husainridwan 61923007 2023-03-31T11:36:46Z 2023-03-31T11:37:12Z NONE

@TomNicholas @dcherian where would I start from if I want to work on this?

 
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   Support for monotonically decreasing indices in interpolate_na 754789691
789652922 https://github.com/pydata/xarray/issues/4637#issuecomment-789652922 https://api.github.com/repos/pydata/xarray/issues/4637 MDEyOklzc3VlQ29tbWVudDc4OTY1MjkyMg== cvoivret 7123715 2021-03-03T11:39:38Z 2021-03-03T11:39:38Z NONE

A simple trick could be to not use the coordinate while interpolating. An example with the same data but the second dataset has a decreasing index.

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

da = xr.DataArray([0, 2, np.nan, 3, 3.25], dims="x", coords={"x": [0, 1, 2, 3, 4]}) da1= xr.DataArray([3.25, 3,np.nan,2,0],dims='x',coords={"x":[4,3,2,1,0]})

da_inter=da.interpolate_na(dim='x', method='cubic') da1_inter=da1.interpolate_na(dim='x',method='cubic',use_coordinate=False) ```

As far as I understand interpolation, the result is the same. 

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   Support for monotonically decreasing indices in interpolate_na 754789691

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