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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
138742787 https://github.com/pydata/xarray/issues/456#issuecomment-138742787 https://api.github.com/repos/pydata/xarray/issues/456 MDEyOklzc3VlQ29tbWVudDEzODc0Mjc4Nw== shoyer 1217238 2015-09-09T00:59:02Z 2015-09-09T00:59:02Z MEMBER 
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   Percentiles 93416316
119076250 https://github.com/pydata/xarray/issues/456#issuecomment-119076250 https://api.github.com/repos/pydata/xarray/issues/456 MDEyOklzc3VlQ29tbWVudDExOTA3NjI1MA== shoyer 1217238 2015-07-07T05:30:00Z 2015-07-07T06:34:11Z MEMBER

Yes, this is an appropriate place to ask these questions.

No, we don't have a percentile/quantile method currently. This would be a welcome addition if you are interested in putting together a pull request.

For now, you can work around it by using the reduce method: ds.reduce(functools.partial(np.percentile, q=95), dim='time')

 
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   Percentiles 93416316

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