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  • if 10% of ds meets criteria then count · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
391572819 https://github.com/pydata/xarray/issues/2178#issuecomment-391572819 https://api.github.com/repos/pydata/xarray/issues/2178 MDEyOklzc3VlQ29tbWVudDM5MTU3MjgxOQ== slharris 12929592 2018-05-24T03:03:15Z 2018-05-24T03:03:15Z NONE

Thank you that solved my issue

 
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   if 10% of ds meets criteria then count 325933825
391570475 https://github.com/pydata/xarray/issues/2178#issuecomment-391570475 https://api.github.com/repos/pydata/xarray/issues/2178 MDEyOklzc3VlQ29tbWVudDM5MTU3MDQ3NQ== shoyer 1217238 2018-05-24T02:47:57Z 2018-05-24T02:47:57Z MEMBER

Something like this should work: ((dailymax >= 35).mean(other_dims) > 0.1).sum('time'), where other_dims indicates the other dimensions of your dataset (e.g., ('latitude', 'longitude')).

 
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   if 10% of ds meets criteria then count 325933825

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