issue_comments: 60410236
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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https://github.com/pydata/xarray/issues/265#issuecomment-60410236 | https://api.github.com/repos/pydata/xarray/issues/265 | 60410236 | MDEyOklzc3VlQ29tbWVudDYwNDEwMjM2 | 1217238 | 2014-10-24T16:14:49Z | 2014-10-24T16:14:49Z | MEMBER | See the example of using I do want to enable missing value computations by default, but haven't gotten around to it yet. Possibly in v0.4? In particular, one thing I wanted was fast missing value aggregation when aggregating simultaneously over multiple dimensions at once. This is now possible with Numbagg, but wasn't with Bottleneck (both are significantly faster than pure Numpy). |
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