issue_comments: 294381137
This data as json
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/1375#issuecomment-294381137 | https://api.github.com/repos/pydata/xarray/issues/1375 | 294381137 | MDEyOklzc3VlQ29tbWVudDI5NDM4MTEzNw== | 306380 | 2017-04-16T23:50:26Z | 2017-04-16T23:50:26Z | MEMBER | Here is a brief attempt at a multi-dimensional sparse array: https://github.com/mrocklin/sparse It depends on numpy and scipy.sparse and, with the exception of a bit of in-memory data movement and copies, should run at scipy speeds (though I haven't done any benchmarking). @rabernat do you have an application that we could use to drive this? |
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