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https://github.com/pydata/xarray/issues/4630#issuecomment-736755070 https://api.github.com/repos/pydata/xarray/issues/4630 736755070 MDEyOklzc3VlQ29tbWVudDczNjc1NTA3MA== 2448579 2020-12-01T19:03:12Z 2020-12-01T19:03:12Z MEMBER

TO use "vectorized indexing", tgt_lat and tgt_lon need to be DataArrays with a common dimension name that is not a dimenion in ds

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

ds = xr.tutorial.open_dataset("air_temperature")

Define taget latitude and longitude

tgt_lat = xr.DataArray(np.linspace(0, 100, num=10), dims="points") # <--- tgt_lon = xr.DataArray(np.linspace(0, 100, num=10), dims="points") # <---

Retrieve data at target latitude and longitude

tgt_data = ds['air'].sel(lon=tgt_lon, lat=tgt_lat, method='nearest') tgt_data ```

 
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