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- {DataArray,Dataset}.rank() should support an optional list of dimensions · 4 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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592737661 | https://github.com/pydata/xarray/issues/3810#issuecomment-592737661 | https://api.github.com/repos/pydata/xarray/issues/3810 | MDEyOklzc3VlQ29tbWVudDU5MjczNzY2MQ== | seth-p 7441788 | 2020-02-28T21:29:58Z | 2020-02-28T21:31:31Z | CONTRIBUTOR | Note that with the |
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{DataArray,Dataset}.rank() should support an optional list of dimensions 572875480 | |
592715925 | https://github.com/pydata/xarray/issues/3810#issuecomment-592715925 | https://api.github.com/repos/pydata/xarray/issues/3810 | MDEyOklzc3VlQ29tbWVudDU5MjcxNTkyNQ== | seth-p 7441788 | 2020-02-28T20:33:43Z | 2020-02-28T20:35:57Z | CONTRIBUTOR | A few minor tweaks needed: ``` In [20]: import bottleneck In [21]: xr.apply_ufunc(
...: lambda x: bottleneck.rankdata(x).reshape(x.shape),
...: d,
...: input_core_dims=[['xyz', 'abc']],
...: output_core_dims=[['xyz', 'abc']],
...: vectorize=True
...: ).transpose(*d.dims) Despite what the docs say, |
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{DataArray,Dataset}.rank() should support an optional list of dimensions 572875480 | |
592672463 | https://github.com/pydata/xarray/issues/3810#issuecomment-592672463 | https://api.github.com/repos/pydata/xarray/issues/3810 | MDEyOklzc3VlQ29tbWVudDU5MjY3MjQ2Mw== | seth-p 7441788 | 2020-02-28T18:51:18Z | 2020-02-28T18:52:29Z | CONTRIBUTOR | What's wrong with the following? (Still need to deal with Per https://kwgoodman.github.io/bottleneck-doc/reference.html#bottleneck.rankdata, "The default (axis=None) is to rank the elements of the flattened array." |
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{DataArray,Dataset}.rank() should support an optional list of dimensions 572875480 | |
592654794 | https://github.com/pydata/xarray/issues/3810#issuecomment-592654794 | https://api.github.com/repos/pydata/xarray/issues/3810 | MDEyOklzc3VlQ29tbWVudDU5MjY1NDc5NA== | seth-p 7441788 | 2020-02-28T18:06:57Z | 2020-02-28T18:06:57Z | CONTRIBUTOR | Assuming |
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{DataArray,Dataset}.rank() should support an optional list of dimensions 572875480 |
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