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issue 4

  • Add histogram method 1
  • Strange behaviour when overwriting files with to_netcdf and html repr 1
  • Delaying open produces different type of `cftime` object 1
  • Initialise zarr metadata without computing dask graph 1

user 1

  • dougiesquire · 4 ✖

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  • NONE 4
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1011446127 https://github.com/pydata/xarray/issues/6026#issuecomment-1011446127 https://api.github.com/repos/pydata/xarray/issues/6026 IC_kwDOAMm_X848SXFv dougiesquire 42455466 2022-01-12T20:58:53Z 2022-01-12T20:58:53Z NONE

Thanks @spencerkclark! Updating to cftime version 1.5.1 fixes the issue.

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  Delaying open produces different type of `cftime` object 1063046540
1011430150 https://github.com/pydata/xarray/issues/6084#issuecomment-1011430150 https://api.github.com/repos/pydata/xarray/issues/6084 IC_kwDOAMm_X848STMG dougiesquire 42455466 2022-01-12T20:35:44Z 2022-01-12T20:35:44Z NONE

Thanks @shoyer. I understand the need for the schema, but is there a need to actually generate the dask graph when all the user wants to do is initialise an empty zarr store? E.g., I think skipping this line would save some of the users in my original post a lot of time.

Regardless, your suggestion to just create a low-overhead version of the array being initialised is probably better/cleaner than adding a specific option or method. Would it be worth adding the xarray.zeros_like(ds) recommendation to the docs?

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  Initialise zarr metadata without computing dask graph 1083621690
852836671 https://github.com/pydata/xarray/issues/4610#issuecomment-852836671 https://api.github.com/repos/pydata/xarray/issues/4610 MDEyOklzc3VlQ29tbWVudDg1MjgzNjY3MQ== dougiesquire 42455466 2021-06-02T08:12:06Z 2021-06-02T08:12:06Z NONE

We have a very thin wrapper of xhistogram in xskillscore for calculating histograms from Datasets. It simply calculates the histograms independently for all variables that exist in all Datasets. This makes sense in the context of calculating skill score where the first Dataset corresponds to observations and the second to forecasts, and we want to calculate the histograms between matched variables in each dataset. However, this might be quite a specific use case and is probably not what we'd want to do in the general case. I like @TomNicholas 's proposal for Dataset functionality.

Is this what you're getting at @aaronspring ? Or am I misunderstanding?

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  Add histogram method 750985364
763897041 https://github.com/pydata/xarray/issues/4833#issuecomment-763897041 https://api.github.com/repos/pydata/xarray/issues/4833 MDEyOklzc3VlQ29tbWVudDc2Mzg5NzA0MQ== dougiesquire 42455466 2021-01-20T20:00:23Z 2021-01-20T20:00:23Z NONE

May be a duplicate of #4240

Yup - my apologies, I didn't find this. I'll move any further comments I have over there.

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  Strange behaviour when overwriting files with to_netcdf and html repr 789755611

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