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  • mikebyrne6 · 9 ✖

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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
575677825 https://github.com/pydata/xarray/issues/3701#issuecomment-575677825 https://api.github.com/repos/pydata/xarray/issues/3701 MDEyOklzc3VlQ29tbWVudDU3NTY3NzgyNQ== mikebyrne6 57364981 2020-01-17T15:42:35Z 2020-01-17T18:00:03Z NONE

keewis' quantile function works fine on 1 year of data (as in the MVCE code sample) but does not like working on 10 years of data:

ValueError: dimension 'time' on 0th function argument to apply_ufunc with dask='parallelized' consists of multiple chunks, but is also a core dimension. To fix, rechunk into a single dask array chunk along this dimension, i.e., ``.chunk({'time': -1})``, but beware that this may significantly increase memory usage.

 
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   Error using reduce(): percentile() got an unexpected keyword argument 'axis' 551344538
575655918 https://github.com/pydata/xarray/issues/3701#issuecomment-575655918 https://api.github.com/repos/pydata/xarray/issues/3701 MDEyOklzc3VlQ29tbWVudDU3NTY1NTkxOA== mikebyrne6 57364981 2020-01-17T14:48:58Z 2020-01-17T14:48:58Z NONE

Thanks a lot for this! 

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   Error using reduce(): percentile() got an unexpected keyword argument 'axis' 551344538
575596237 https://github.com/pydata/xarray/issues/3701#issuecomment-575596237 https://api.github.com/repos/pydata/xarray/issues/3701 MDEyOklzc3VlQ29tbWVudDU3NTU5NjIzNw== mikebyrne6 57364981 2020-01-17T11:51:28Z 2020-01-17T11:51:28Z NONE

Seems like I do need it:

python percentiles = ds.quantile(q=percentile / 100, dim="time") returns

TypeError: quantile does not work for arrays stored as dask arrays. Load the data via .compute() or .load() prior to calling this method.

 
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   Error using reduce(): percentile() got an unexpected keyword argument 'axis' 551344538
575593148 https://github.com/pydata/xarray/issues/3701#issuecomment-575593148 https://api.github.com/repos/pydata/xarray/issues/3701 MDEyOklzc3VlQ29tbWVudDU3NTU5MzE0OA== mikebyrne6 57364981 2020-01-17T11:40:46Z 2020-01-17T11:40:46Z NONE

Thanks for that but ideally I wouldn't use compute(). The code worked using a previous version of dask (0.16.1) so I'm hoping there might be an easy fix for dask 2.9.0...

 
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   Error using reduce(): percentile() got an unexpected keyword argument 'axis' 551344538
566114523 https://github.com/pydata/xarray/issues/3627#issuecomment-566114523 https://api.github.com/repos/pydata/xarray/issues/3627 MDEyOklzc3VlQ29tbWVudDU2NjExNDUyMw== mikebyrne6 57364981 2019-12-16T15:40:06Z 2019-12-16T15:40:06Z NONE

All sorted @spencerkclark, many thanks for so generously helping out an xarray beginner!

 
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   Error time slicing for some CMIP6 models 538380868
566101760 https://github.com/pydata/xarray/issues/3627#issuecomment-566101760 https://api.github.com/repos/pydata/xarray/issues/3627 MDEyOklzc3VlQ29tbWVudDU2NjEwMTc2MA== mikebyrne6 57364981 2019-12-16T15:10:38Z 2019-12-16T15:10:38Z NONE

You're right, I'm stilling running the 0.14.0 version... Somehow the upgrade to 0.14.1 did not work, will try again...

 
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   Error time slicing for some CMIP6 models 538380868
566073210 https://github.com/pydata/xarray/issues/3627#issuecomment-566073210 https://api.github.com/repos/pydata/xarray/issues/3627 MDEyOklzc3VlQ29tbWVudDU2NjA3MzIxMA== mikebyrne6 57364981 2019-12-16T14:00:22Z 2019-12-16T14:00:22Z NONE

The data I'm trying to work with are for CESM2 ('historical' simulation) and are stored in the Google Cloud at:

gs://cmip6/CMIP/NCAR/CESM2/historical/r1i1p1f1/Amon/tas/gn/

 
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   Error time slicing for some CMIP6 models 538380868
566065439 https://github.com/pydata/xarray/issues/3627#issuecomment-566065439 https://api.github.com/repos/pydata/xarray/issues/3627 MDEyOklzc3VlQ29tbWVudDU2NjA2NTQzOQ== mikebyrne6 57364981 2019-12-16T13:40:00Z 2019-12-16T13:40:00Z NONE

Thanks again @spencerkclark! I upgraded xarray as suggested but still getting the error directly above...

 
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   Error time slicing for some CMIP6 models 538380868
566059831 https://github.com/pydata/xarray/issues/3627#issuecomment-566059831 https://api.github.com/repos/pydata/xarray/issues/3627 MDEyOklzc3VlQ29tbWVudDU2NjA1OTgzMQ== mikebyrne6 57364981 2019-12-16T13:26:10Z 2019-12-16T13:26:30Z NONE

Hi @spencerkclark,

Thanks a lot for the quick response! Indeed I did not have cftime installed. After installing, the time-slicing error has evolved:

~/anaconda3/lib/python3.6/site-packages/xarray/coding/cftimeindex.py in _parse_iso8601_with_reso(date_type, timestr) 114 # 1.0.3.4. 115 replace["dayofwk"] = -1 --> 116 return default.replace(**replace), resolution 117 118

cftime/_cftime.pyx in cftime._cftime.datetime.replace()

ValueError: Replacing the dayofyr or dayofwk of a datetime is not supported.

Any ideas here?

Cheers,

Mike

 
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   Error time slicing for some CMIP6 models 538380868

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