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  • use `_repr_inline_` for indexes that define it · 6 ✖

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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
1284076428 https://github.com/pydata/xarray/pull/7183#issuecomment-1284076428 https://api.github.com/repos/pydata/xarray/issues/7183 IC_kwDOAMm_X85MiXOM keewis 14808389 2022-10-19T14:06:43Z 2022-10-19T14:06:43Z MEMBER

okay, let's merge this and update #7183.

 
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   use `_repr_inline_` for indexes that define it 1412926287
1283901761 https://github.com/pydata/xarray/pull/7183#issuecomment-1283901761 https://api.github.com/repos/pydata/xarray/issues/7183 IC_kwDOAMm_X85MhslB keewis 14808389 2022-10-19T12:03:16Z 2022-10-19T12:03:16Z MEMBER

I will add that in #7185 (#6795 is also missing an entry)

 
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   use `_repr_inline_` for indexes that define it 1412926287
1283897249 https://github.com/pydata/xarray/pull/7183#issuecomment-1283897249 https://api.github.com/repos/pydata/xarray/issues/7183 IC_kwDOAMm_X85Mhreh benbovy 4160723 2022-10-19T11:59:08Z 2022-10-19T11:59:08Z MEMBER

Looks all good to me!

Do you want to add a what's new entry here or add it in #7185 with a link to this PR?

 
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   use `_repr_inline_` for indexes that define it 1412926287
1282295471 https://github.com/pydata/xarray/pull/7183#issuecomment-1282295471 https://api.github.com/repos/pydata/xarray/issues/7183 IC_kwDOAMm_X85Mbkav benbovy 4160723 2022-10-18T12:19:56Z 2022-10-18T12:19:56Z MEMBER

Yeah I think we could let the whole line after the 1st column (coordinate names) be customized by the index.

 
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   use `_repr_inline_` for indexes that define it 1412926287
1282275617 https://github.com/pydata/xarray/pull/7183#issuecomment-1282275617 https://api.github.com/repos/pydata/xarray/issues/7183 IC_kwDOAMm_X85Mbfkh keewis 14808389 2022-10-18T12:02:39Z 2022-10-18T12:04:09Z MEMBER

Not sure. As far as I can tell, the information that could be put in the repr would be: - the names of the wrapped variables - the index class name - any parameters passed to the constructor - parameters inferred from the data?

I guess the separation very much depends on how we want to display the indexes. For now, I'd imagine something like this would be great: [lat, lon] KDTree(ranges={"lat": [-45, 45], "lon": [-60, 30]}, leaf_size=10) where leaf_size was passed to the constructor and ranges is computed from the mins / maxes attributes of the k-d tree.

 
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   use `_repr_inline_` for indexes that define it 1412926287
1282151989 https://github.com/pydata/xarray/pull/7183#issuecomment-1282151989 https://api.github.com/repos/pydata/xarray/issues/7183 IC_kwDOAMm_X85MbBY1 benbovy 4160723 2022-10-18T10:11:46Z 2022-10-18T10:11:46Z MEMBER

Great @keewis!

One question: should we let repr_inline display the class name or should we reserve a column for this and use repr_inline for other things? I.e., like variables have a dtype column and another column for values preview or other inline info. 

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   use `_repr_inline_` for indexes that define it 1412926287

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