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  • mathause · 2 ✖

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