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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 |
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631075010 | https://github.com/pydata/xarray/issues/4079#issuecomment-631075010 | https://api.github.com/repos/pydata/xarray/issues/4079 | MDEyOklzc3VlQ29tbWVudDYzMTA3NTAxMA== | alimanfoo 703554 | 2020-05-19T20:50:26Z | 2020-05-19T20:50:51Z | CONTRIBUTOR |
In this specific example, I do actually know where these dimension lengths come from. In fact I should've used the shared dimension But two points. First, I don't care about these dimensions. The only dimensions I care about and will use are Second, more important, this kind of data can come from a number of different sources, each of which includes a different set of arrays with different names and semantics. While there are some common arrays and naming conventions where I can guess what the dimensions mean, in general I can't know all of those up front and bake them in as special cases. |
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Unnamed dimensions 621078539 | |
630924754 | https://github.com/pydata/xarray/issues/4079#issuecomment-630924754 | https://api.github.com/repos/pydata/xarray/issues/4079 | MDEyOklzc3VlQ29tbWVudDYzMDkyNDc1NA== | alimanfoo 703554 | 2020-05-19T16:14:27Z | 2020-05-19T16:14:27Z | CONTRIBUTOR | Thanks @shoyer. For reference, I'm exploring putting some genome variation data into xarray, here's an initial experiment and discussion here. In general I will have some arrays where I won't know what some of the dimensions mean, and so cannot give them a meaningful name. No worries if this is hard, was just wondering if it was supported already. |
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Unnamed dimensions 621078539 | |
630913851 | https://github.com/pydata/xarray/issues/4079#issuecomment-630913851 | https://api.github.com/repos/pydata/xarray/issues/4079 | MDEyOklzc3VlQ29tbWVudDYzMDkxMzg1MQ== | alimanfoo 703554 | 2020-05-19T15:55:54Z | 2020-05-19T15:55:54Z | CONTRIBUTOR | Thanks so much @rabernat for quick response. |
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Unnamed dimensions 621078539 |
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