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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
771198437 MDExOlB1bGxSZXF1ZXN0NTQyNzk3NDYy 4711 Adding vectorized indexing docs EricKeenan 44210245 closed 0     3 2020-12-18T22:10:49Z 2021-02-16T23:37:30Z 2021-02-16T23:37:30Z CONTRIBUTOR   0 pydata/xarray/pulls/4711
  • [x] closes #4630, closes #3768

4630: Adds a new vectorized indexing example to sel docstring and narrative docs.

Thanks to @dcherian for introducing me to vectorized indexing and @keewis for providing some information to get started. Also thanks to the community for the excellent contribution guide. http://xarray.pydata.org/en/stable/contributing.html

Am I missing anything here? Or is there anything that can be improved? I'm happy to see this through - thanks in advance for any feedback/tips! 

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     xarray 13221727 pull
753874419 MDU6SXNzdWU3NTM4NzQ0MTk= 4630 .sel(...., method='nearest') fails for large requests. EricKeenan 44210245 closed 0     8 2020-11-30T23:20:18Z 2021-02-16T23:37:29Z 2021-02-16T23:37:29Z CONTRIBUTOR      

A common usage of xarray is to retrieve climate model data from the grid cells closest to a weather station. That might look like this

``` import xarray as xr import numpy as np

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

Define taget latitude and longitude

tgt_lat = np.linspace(0, 100, num=10) tgt_lon = np.linspace(0, 100, num=10)

Retrieve data at target latitude and longitude

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

My problem is that I am trying subset ds to 10 points in space (which is the length of tgt_lat and tgt_lon), but in fact xarray retrieves 100 points (10 latitude by 10 longitude). I can get around this by calling tgt_data = tgt_data.values.diagonal(). But this results in a non-xarray object. Furthermore, if instead of querying for 10 points in space, I query for 10,000, I run out of memory because xarray retrieves 100,000,000 points in space (10,000^2).

Is there a way to only retrieve the diagonal elements? If not, is this something that should be added? 

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   completed xarray 13221727 issue

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