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  • shoyer · 2 ✖

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  • Implement vnorm for xarray with dask support · 2 ✖

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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
177362496 https://github.com/pydata/xarray/issues/735#issuecomment-177362496 https://api.github.com/repos/pydata/xarray/issues/735 MDEyOklzc3VlQ29tbWVudDE3NzM2MjQ5Ng== shoyer 1217238 2016-01-31T02:22:53Z 2016-01-31T02:22:53Z MEMBER

Looks like it would be worth writing a cross-compatible vnorm in xarray/core/ops.py. Take a look at that module for examples of how we wrote custom wrapper -- this should be pretty straightforward

 
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   Implement vnorm for xarray with dask support 129919128
177035840 https://github.com/pydata/xarray/issues/735#issuecomment-177035840 https://api.github.com/repos/pydata/xarray/issues/735 MDEyOklzc3VlQ29tbWVudDE3NzAzNTg0MA== shoyer 1217238 2016-01-30T01:02:10Z 2016-01-30T01:02:18Z MEMBER

I would be OK adding a norm method, although I don't think there's a super strong need for it -- usually I've been happy writing expressions like (x ** 2).sum(['shapes', 'x']) ** 0.5 instead.

You would either need to implement this all in xarray, or preferably write da.linalg.norm in dask and use that take. Take a look at the scipy source code for this function -- I suspect you could port this almost directly to dask.

 
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   Implement vnorm for xarray with dask support 129919128

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