pull_requests: 99497806

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id node_id number state locked title user body created_at updated_at closed_at merged_at merge_commit_sha assignee milestone draft head base author_association auto_merge repo url merged_by
99497806 MDExOlB1bGxSZXF1ZXN0OTk0OTc4MDY= 1187 closed 0 add quantile method to DataArray 2443309 This PR adds the `quantile` method to the DataArray. There may be a way to better fit this in with `.apply` or `reduce` it wasn't immediately clear to me how to do that. It uses `np.nanpercentile` under the hood so this shouldn't be expected to work well with dask. The main advantage to this method, over using `apply(np.nanpercentile)` is the handling of the `quantile` coordinate. example usage: ```Python In [12]: x = np.random.random(size=(2, 3, 800)) In [13]: da = xr.DataArray(x, dims=('x', 'y', 'time')) In [14]: da.quantile([1, 5, 10, 25, 50, 75, 90, 95, 99], dim='time', interpolation='lower') Out[14]: <xarray.DataArray (quantile: 9, x: 2, y: 3)> array([[[ 0.00835474, 0.01126747, 0.00778847], [ 0.00803924, 0.00919259, 0.01150164]], [[ 0.04902814, 0.05346976, 0.04493341], [ 0.04236611, 0.05273082, 0.05858802]], [[ 0.09370776, 0.09976448, 0.09256707], [ 0.08943787, 0.09331907, 0.08832309]], [[ 0.25416402, 0.22577298, 0.24407393], [ 0.25386087, 0.23052584, 0.24621966]], [[ 0.534169 , 0.46017551, 0.49817391], [ 0.50968059, 0.49427688, 0.51573855]], [[ 0.76633412, 0.73405412, 0.77210754], [ 0.76759837, 0.74243892, 0.76703357]], [[ 0.90832116, 0.89495854, 0.91818434], [ 0.91492771, 0.88063773, 0.91416636]], [[ 0.95260527, 0.95132871, 0.95979701], [ 0.95988286, 0.93137055, 0.95941658]], [[ 0.98597133, 0.98883232, 0.99013424], [ 0.98951238, 0.97550784, 0.99224201]]]) Coordinates: * quantile (quantile) float64 1.0 5.0 10.0 25.0 50.0 75.0 90.0 95.0 99.0 o x (x) - o y (y) - ``` closes #303 fixes #561 2016-12-28T01:06:51Z 2017-01-23T18:23:06Z 2017-01-23T18:22:14Z 2017-01-23T18:22:14Z d5f4af50d14de165e6d5a5be4826910540384fc7     0 d8ba5694351b6948dee89748a8b4a38dfaa7f2bd 80fbc6e46c5a36bd4bfe24c667bd44d1f4e8e53a MEMBER   13221727 https://github.com/pydata/xarray/pull/1187  

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