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  • select range/ slice with method='nearest' · 5 ✖

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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
454533545 https://github.com/pydata/xarray/issues/418#issuecomment-454533545 https://api.github.com/repos/pydata/xarray/issues/418 MDEyOklzc3VlQ29tbWVudDQ1NDUzMzU0NQ== max-sixty 5635139 2019-01-15T20:10:19Z 2019-01-15T20:10:19Z MEMBER

Closing as stale, please reopen if still relevant

 
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   select range/ slice with method='nearest' 84068169
111943792 https://github.com/pydata/xarray/issues/418#issuecomment-111943792 https://api.github.com/repos/pydata/xarray/issues/418 MDEyOklzc3VlQ29tbWVudDExMTk0Mzc5Mg== mathause 10194086 2015-06-15T06:17:41Z 2015-06-15T06:17:41Z MEMBER

ok thank you for looking at it and the clarification.

 
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   select range/ slice with method='nearest' 84068169
111630149 https://github.com/pydata/xarray/issues/418#issuecomment-111630149 https://api.github.com/repos/pydata/xarray/issues/418 MDEyOklzc3VlQ29tbWVudDExMTYzMDE0OQ== shoyer 1217238 2015-06-12T22:07:30Z 2015-06-12T22:09:16Z MEMBER

I just clarified this in the docs: http://xray.readthedocs.org/en/stable/indexing.html#nearest-neighbor-lookups

Let me know if that makes sense -- hopefully it's clear now that you actually don't need method='nearest' most use cases. As for your hack, I'm reluctant to support method='nearest' with label based slicing without the upstream functionality in pandas -- which would need to go in Index.slice_locs/Index.slice_indexer: https://github.com/pydata/pandas/blob/be5ad4abcb9d8385110831edd138c1f644fe83ae/pandas/core/index.py#L2457

 
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   select range/ slice with method='nearest' 84068169
108119362 https://github.com/pydata/xarray/issues/418#issuecomment-108119362 https://api.github.com/repos/pydata/xarray/issues/418 MDEyOklzc3VlQ29tbWVudDEwODExOTM2Mg== shoyer 1217238 2015-06-02T22:43:38Z 2015-06-02T22:43:38Z MEMBER

ds.sel(lat=slice(30, 50)) will work to select all values inside interval [30, 50] already -- the values don't have to match exactly. This should probably be noted in the docs.

This inconsistency is definitely a little annoying, though -- I don't see any harm in support nearest neighbor lookups for the bounds.

 
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   select range/ slice with method='nearest' 84068169
108014220 https://github.com/pydata/xarray/issues/418#issuecomment-108014220 https://api.github.com/repos/pydata/xarray/issues/418 MDEyOklzc3VlQ29tbWVudDEwODAxNDIyMA== mathause 10194086 2015-06-02T16:57:52Z 2015-06-02T16:58:52Z MEMBER

I did a short hack - not sure if it is of any help...

420

import numpy as np import xray temp = 15 + 8 * np.random.randn(20) lat = np.arange(0, 20) ds = xray.Dataset({'temperature': ('lat', temp)}, coords={'lat' : lat}) ds.sel(lat=slice(1.2, 5.9)) # lat = 2 3 4 5 ds.sel(lat=slice(1.2, 5.9), method='nearest') # lat = 1 2 3 4 5 6

 
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   select range/ slice with method='nearest' 84068169

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