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1 row where issue = 139956689 and user = 1197350 sorted by updated_at descending

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  • rabernat · 1 ✖

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  • Time limitation (between years 1678 and 2262) restrictive to climate community · 1 ✖

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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
194976812 https://github.com/pydata/xarray/issues/789#issuecomment-194976812 https://api.github.com/repos/pydata/xarray/issues/789 MDEyOklzc3VlQ29tbWVudDE5NDk3NjgxMg== rabernat 1197350 2016-03-10T17:56:27Z 2016-03-10T17:56:27Z MEMBER

:+1: I hit this problem months back when analyzing CESM runs.

It seems silly that the adoption of xarray by the climate modeling community should rest on these highly technical issues. But that seems to be the reality. The challenge is to raise the profile of these issues within the numpy and pandas communities such that they become a high priority. Even better would be dedicated developer time (e.g. from someone at UNIDATA) to implement fixes.

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  Time limitation (between years 1678 and 2262) restrictive to climate community 139956689

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