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https://github.com/pydata/xarray/issues/3701#issuecomment-575590320 https://api.github.com/repos/pydata/xarray/issues/3701 575590320 MDEyOklzc3VlQ29tbWVudDU3NTU5MDMyMA== 14808389 2020-01-17T11:31:27Z 2020-01-17T11:31:27Z MEMBER

the reason for this is that the percentile implementation of dask arrays does not support axis. I think you can achieve the same thing by either using compute() (which is probably not desirable) or by using quantile: python In [13]: # Get the percentiles at each lat/lon: ...: ds = ds.compute() ...: percentiles = ds.reduce(np.percentile, q=percentile, dim='time') ...: quantiles = ds.quantile(q=percentile / 100, dim="time") ...: xr.testing.assert_identical(percentiles.drop_vars("height"), quantiles.drop_vars("quantile")) the only difference is that the unused coordinate height disappears and a quantile dimension is added.

 
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